US9141996B2 - Dynamic auto insurance policy quote creation based on tracked user data - Google Patents

Dynamic auto insurance policy quote creation based on tracked user data Download PDF

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US9141996B2
US9141996B2 US14/203,338 US201414203338A US9141996B2 US 9141996 B2 US9141996 B2 US 9141996B2 US 201414203338 A US201414203338 A US 201414203338A US 9141996 B2 US9141996 B2 US 9141996B2
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potential customer
usage data
vehicle
insurance policy
processors
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US14/203,338
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US20140257871A1 (en
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Scott T. Christensen
Gregory Hayward
Christopher E. Gay
Steven Cielocha
Todd Binion
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State Farm Mutual Automobile Insurance Co
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State Farm Mutual Automobile Insurance Co
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Priority to US14/203,338 priority patent/US9141996B2/en
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY reassignment STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BINION, TODD, CHRISTENSEN, SCOTT T., CIELOCHA, STEVEN, HAYWARD, GREGORY
Publication of US20140257871A1 publication Critical patent/US20140257871A1/en
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY reassignment STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: GAY, CHRISTOPHER E.
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance, e.g. risk analysis or pensions
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60CVEHICLE TYRES; TYRE INFLATION; TYRE CHANGING OR REPAIRING; REPAIRING, OR CONNECTING VALVES TO, INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
    • B60C1/00Tyres characterised by the chemical composition or the physical arrangement or mixture of the composition
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60QARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00Arrangements or adaptations of optical signalling or lighting devices
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/20Means to switch the anti-theft system on or off
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0207Discounts or incentives, e.g. coupons, rebates, offers or upsales
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0207Discounts or incentives, e.g. coupons, rebates, offers or upsales
    • G06Q30/0208Trade or exchange of a good or service for an incentive
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/008Registering or indicating the working of vehicles communicating information to a remotely located station

Abstract

A system and method may create auto insurance quotes using data collected from a device that tracks vehicle usage data and other data. Usage data may be tracked by an On Board Diagnostic (OBD) device or other portable computing device such as a smart phone. Based on a received coverage type, the usage data and other data may be analyzed to determine auto insurance quotes. A potential customer may then purchase an auto insurance policy. Once the purchased policy has been determined to have expired, new usage data will be collected, and new quotes will be created for the customer.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application No. 61/775,652, filed Mar. 10, 2013, which is incorporated by reference herein.

FIELD OF THE DISCLOSURE

This disclosure relates to a system and method for measuring risk to create an insurance policy quote based at least in part on tracked user data and other information.

BACKGROUND

The background description provided herein is for the purpose of generally presenting the context of the disclosure. Work of the presently named inventors, to the extent it is described in this background section, as well as aspects of the description that may not otherwise qualify as prior art at the time of filing, are neither expressly nor impliedly admitted as prior art against the present disclosure.

Auto insurance policy rates may be calculated based on a determined risk for the possibility of a claim against the insurance company under the policy. Determining that risk, however, may be difficult. Typically, insurance companies use a number of factors related to the customer, the property to be insured, and environmental factors (e.g., the geographic area the property is located in and the likelihood of claims in that area). However, accurately determining these factors and, thus, determining an accurate measure of risk for a claim, is difficult because the factors are most often reported to the insurance company by the party most likely to benefit under a claim: the customer.

SUMMARY

This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Customers may have urgent needs for short or long term auto insurance policies. Traditional methods of purchasing auto insurance may take too much time to complete, and may not provide the customer with the desired coverage term. A dynamic policy module may provide quick and personalized auto insurance options to a potential customer by accurately and quickly communicating possible risk factors to the insurance provider. Additionally, the module may track usage data of a potential customer to provide more accurate policy quotes, audits, and renewals.

For example, a computer-implemented method may provide for display, a selectable option to track usage data corresponding to a potential customer. In response to receiving a selection to track the usage data, the method may implement a vehicle's On Board Diagnostic (OBD) device to track usage, or alternatively, the method may track usage via a portable computing device such as a smart phone. The method may track usage of one or more vehicles associated with a potential customer. Usage data which is useful for calculating insurance policy quotes may include mileage data, speed data, time data, driving characteristics, etc. The method may then receive all usage data and other data associated with a potential customer, along with a selected coverage type. The method may then analyze the usage and other data, and based on the coverage type, determine price quotes for various insurance policies. The method may then receive a purchase transaction, and continue to track usage until the policy has been determined to expire. The method may then reanalyze the data and create new policy quotes for the potential customer.

In other embodiments, a computer device may track usage data corresponding to a potential customer, and in turn create insurance policy quotes for said potential customer. The computer device may comprise one or more processors and one or more memories coupled to the one or more processors. The one or more memories may include computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to perform a plurality of functions. For example, the functions may cause an On Board Diagnostic (OBD) device to track usage, or alternatively, the functions may track usage via a portable computing device such as a smart phone. The functions may then cause the one or more processors to track usage of one or more vehicles associated with a potential customer. Usage data which is useful for calculating insurance policy quotes may include mileage data, speed data, time data, driving characteristics, etc. The functions may then cause the one or more processors to receive all usage data and other data associated with a potential customer, along with a selected coverage type. The functions may then cause the one or more processors to analyze the usage and other data, and based on the coverage type, determine price quotes for various insurance policies. The functions may then cause the one or more processors to receive a purchase transaction, and continue to track usage until the policy has been determined to expire. Finally, the functions may then cause the one or more processors to then reanalyze the data and create new policy quotes for the potential customer.

In still other embodiments, a tangible computer-readable medium may include non-transitory computer readable instructions stored thereon to track usage data corresponding to a potential customer, and in turn create insurance policy quotes for said potential customer. For example, the instructions may cause an On Board Diagnostic (OBD) system to track usage, or alternatively, the instructions may track usage via a portable computing device such as a smart phone. The instructions may then comprise tracking usage of one or more vehicles associated with a potential customer. Usage data which is useful for calculating insurance policy quotes may include mileage data, speed data, time data, driving characteristics, etc. The instructions may then comprise receiving all usage data and other data associated with a potential customer, along with a selected coverage type. The instructions may then comprise analyzing the usage and other data, and based on one or more coverage types, determining price quotes for various insurance policies. The instructions may then comprise receiving a purchase transaction, and continuing to track usage until the policy has been determined to expire. Finally, the instructions may then comprise reanalyzing the data and creating new policy quotes for the potential customer.

The features and advantages described in this summary and the following detailed description are not all-inclusive. Many additional features and advantages will be apparent to one of ordinary skill in the art in view of the drawings, specification, and claims hereof.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a simplified and exemplary block diagram of a system for dynamic insurance policy quote creation based on tracked usage data;

FIG. 1A is an exemplary data structure including usage data;

FIG. 2 is a flow chart illustrating an exemplary method for a dynamic insurance policy quote creation based on tracked usage data;

FIG. 3 is an illustration of an example user interface for permitting tracking and selecting a coverage type;

FIG. 4 is an illustration of an example user interface for displaying quotes;

FIG. 5 illustrates a block diagram of a computer to implement the various user interfaces, methods, functions, etc., for dynamic auto insurance policy creation based on tracked usage data in accordance with the described embodiments.

The figures depict embodiments of the present invention for purposes of illustration only. One skilled in the art will readily recognize from the following discussion that alternate embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the invention described herein.

DETAILED DESCRIPTION

FIG. 1 generally illustrates one embodiment for a system 100 to create and present an auto insurance policy to a potential customer using tracked usage data. The system 100 may include a client 102 as a front end component and backend components 104 in communication with each other via a communication link 106 (e.g., computer network, internet connection, etc.). FIG. 1 illustrates a block diagram of a high-level architecture of dynamic auto insurance policy creation and presentation system 100 including various software or computer-executable instructions and hardware components or modules that may employ the software and instructions to create insurance policies based on tracked usage data. The various modules may be implemented as computer-readable storage memories containing computer-readable instructions (i.e., software) for execution by a processor of the computer system 100. The modules may perform the various tasks associated with creating and presenting auto insurance policies and tracking vehicle usage data, as herein described. The computer system 100 also includes both hardware and software applications, as well as various data communications channels for communicating data between the various hardware and software components.

The client 102 may track vehicle usage data and communicate collected data to the backend components 104 to complete insurance policy creation and presentation. For example, the client 102 may be a computing device including a CPU 103 and one or more computer readable memories 105. The client 102 may be capable of executing a graphical user interface (GUI) 110 for a dynamic policy module 112 within a web browser 114. In some embodiments, the client 102 executes instructions of a network-based data system 116 to receive potential customer data 118 a, other data 118 b, and usage data 128 via the computer network 106 for display in the GUI 110. The backend components 104 may receive the data 118 a, 118 b, 128 from the client 102 via the computer network 106 upon execution of a dynamic policy module 112 by a system processor.

The dynamic policy module 112 may create auto insurance quotes 119 a and cause the quotes 119 a to be stored in a quote data repository 119. Generally, each quote 119 a is a data structure defining coverage and conditions for an insurance policy between the insurance company and a potential customer, where the data structure includes a plurality of data to be presented to the user.

The client 102 may be a smart phone, tablet computer, On Board Diagnostic device, key fob device (OBD) or other suitable computing device. While only one client 102 is illustrated in FIG. 1 to simplify and clarify the description, it will be understood that any number of client devices are supported and may be in communication with the backend components 104. Further, while only one CPU 103, Memory 105, and GUI 114 is illustrated in the client 102, the client 102 may support any number of these components.

The client may contain a GUI 110 which may communicate with the system 116 through the Internet 106 or other type of suitable network (local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile, a wired or wireless network, a private network, a virtual private network, etc.). A system server 120 may send and receive information and data 118 a, 118 b, 128 for the system 100 such as computer-executable instructions and data associated with applications executing on the client 102 (e.g., the dynamic policy module 112). The applications executing within the system 100 may include cloud-based applications, web-based interfaces to the data system 116, software applications executing on the client 102, or applications including instructions that are executed and/or stored within any component of the system 100. The applications, GUI 110, browser 114, and module 112 may be stored in various locations including separate repositories and physical locations.

In some embodiments, the data system 116 in general and the server 120 in particular may include computer-executable instructions 122 stored within a memory 124 of the server 120 and executed using a processor 126. The instructions 122 may instantiate a policy creation tool 112 or send instructions to the client 102 to instantiate a GUI 110 for the tool 112 using a web browser application 114 of a client 102. In some embodiments, the browser application 114, GUI 110, dynamic policy module 112, and elements of the data system 116 may be implemented at least partially on the server 120 or the client 102. The data system 116 and processor 126 may execute instructions 122 to display the GUI 110 including the data 118 a, 118 b, 128 within a display of the client 102 or server 120 (not shown).

The dynamic policy module 112 may include usage data 128 gained through tracking vehicle usage and other information. The dynamic policy module 112 may identify a vehicle based on the Vehicle Identification Number (VIN), stored in the potential customer data 118 a. The system 100 may receive the usage data 128 through an on-line environment (e.g., the client 102) and web-based user interface, as further described herein. The system 100 may also receive additional usage data 128 from potential customer data 118 a, other data 118 b, or historical data 118 c when appropriate.

The dynamic policy module 112 may include various instructions for execution by a processor 126 to create policy quotes. For example, the module 112 may create quotes 119 a by analyzing the usage data 128 collected by the client 102, along with data from the database 118 a, 118 b, 128. The module 112 may tailor the policy based on a received coverage type (e.g., selected by a potential customer or automatically when a policy quote 119 a is created). Further, the module 112 may track different usage statistics based on the selected coverage type. In one embodiment, the potential customer can choose what usage data to share with the insurance company for purposes of calculating the quote.

The dynamic policy module 112 may then present the one or more created quotes 119 a. In response to presenting the one or more created quotes 119 a, the module may receive an indication of a policy purchase. Upon receiving a purchased policy from the one or more quotes presented, the module 112 may continue to track usage statistics until the purchased policy expires. At the time of the purchased policy expiration, the module 112 may collect new usage data and create new quotes for the user.

With reference to FIG. 2, the system 100 described herein may be employed in a method 200 to track usage data and create and present insurance quotes to a user. The method 200 may include one or more functions or routines in the form of non-transitory computer-executable instructions that are stored in a tangible computer-readable storage medium and executed using a processor of a computing device (e.g., the client 102, the server 120, or any combination of computing devices within the system 100). The routines may be included as part of any of the modules described in relation to FIG. 1 above, or FIG. 5, below, or as part of a module that is external to the system illustrated by FIGS. 1 and 5. For example, the method 200 may be part of a browser application or another application running on the client 102 as a plugin or other module of the browser application. Further, the method 200 may be employed as “software-as-a-service” to provide a client 102 with access to the data system.

At function 201, the system 100 may execute an instruction to begin tracking usage data, as described above in relation to FIG. 1 (e.g., via a client device 102). The function 201 may include an instruction requiring receipt of data indicating that the user has provided consent before usage data is tracked. In another embodiment, the system receives an indication that an OBD device is installed and activated by the potential customer for tracking to begin. In still another embodiment, the system 100 receives data indicating that a smart phone or other portable computing device is configured to begin tracking usage data.

With reference to FIG. 3, an example user interface for permitting tracking 301 and selecting a coverage type 302 may allow the system 100 to receive permission to begin tracking. Further, the example interface 300 may allow the system to receive one or more coverage types. Receiving the coverage type 302 may, in turn, dictate which usage data the dynamic policy module 112 tracks. The interface 300 may also allow the system to receive instructions to stop tracking 303 usage data 128. The interface 300 may be viewed on a client device 102, through a web browser 110 on a GUI 114.

Once the system receives data indicating permission, the module 112, via the client 102, may begin tracking usage data 128 at function 204 of method 200. Referring now the FIG. 1A, a usage database 128 may store a plurality of data structures. In one embodiment, an On Board Diagnostic (OBD) devices may track usage data 128. The OBD device is a computing device installed in the diagnostic port of a vehicle. In an embodiment, one or more OBD devices can be configured to track usage data 128 across one or more vehicles associated with a user. The OBD device may track usage data 128 such as the number of times a vehicle is turned on and off 128A, distance traveled 128B, number of times a person enters or exits the vehicle 128C, total elapsed time the vehicle is on 128D (including drive time and idle time), etc. The OBD device may further be coupled with other sensors, which may enable the OBD device to track the number of times a vehicle enters and exits a particular location 128E, such as a parking garage.

The OBD device may further track the average speed 128F and the top speed 128G of the vehicle. In an embodiment the OBD device may have access to a Global Positioning System (GPS). The OBD device may then locate the vehicle's location 128H using the GPS which can be used to access local speed limits. The OBD device may then compare the vehicle speed to the local speed limit to determine if the vehicle is being driven in a safe manner 128I. The vehicle location 128H may also be used to track travel routes 128J. The travel routes 128J may be cross referenced with crime stats 128K, accident reports 128L and other statistics which may affect policy quotes 119 a.

The OBD device may also monitor other factors such as the hours of the day which the vehicle is used 128M, the number of turns a vehicle makes 128N, the average miles per gallon (MPG) the vehicle achieves 128O, and other usage data. Depending on the coverage type, all or a selection of the statistics may be used to determine an insurance policy quote for a user. For example, if a received coverage type 302 is liability insurance, the module 112 may not track average MPG the vehicle achieves 128O, since this data does not directly correlate with the likelihood of an accident.

In another embodiment, the usage data 128 may be tracked by a smart phone or other mobile computing device such as a GPS or tablet computer. The device may be configured to communicate with sensors in a vehicle by a wired or wireless (e.g., Bluetooth) connection. Once the device communicates with a sensor, the device may determine when to begin tracking usage data 128. The device may also be able to receive data from the vehicle such as odometer readings 128B, travel times (128D, 128M), speed (128F, 128G) and mileage statistics (128O), and other data. The device may be able to track usage data 128 as described above with regard to the OBD device. In further embodiments, the dynamic policy module 112 executing on a smart phone or other mobile computing device may prompt a user to photograph the odometer of the vehicle. For example, the module 112 may execute an instruction to prompt the user at periodic intervals to take a photo of the odometer and the module may further execute an instruction to send the photo to the server 102 for analysis or may analyze the photo at the mobile computing device to determine a set of numbers from the photo, where the numbers indicate a mileage of the vehicle.

Each data structure of the tracked usage data 128 may influence the policy quotes 119 a. For example, the total elapsed time the vehicle is on 128D may directly affect the quote. Generally, users with vehicles that operate for less time generally pay a lower amount for auto insurance, all other factors being equal. In one implementation, an in-vehicle mounted device such as Auterra's DashDyno SPD may be used to collect data on total elapsed time the vehicle was in use 128D. DashDyno connects to the vehicle's OBD system and may be used to collect data on different vehicle parameters including drive time (i.e., engine running time) and time since engine start. A “publish and subscribe” protocol of the dynamic policy module 112 may be used to automatically download the data from the localized sensor device to the mobile device for transmitting vehicle usage data to the server 120. In another implementation, the localized sensor device may be installed in the user's vehicle after the insurance purchase transaction. For example, the device would be mailed to the potential customer along with policy details.

Further, the vehicle may be determined to be in use 128D by a vibration sensor. In an embodiment, a vibration sensor may detect the motion of the vehicle, and thus determine that the vehicle is in use. In another embodiment, a light sensor may be used to determine that a vehicle is in use 128D. A light sensor may detect changes in light patterns as the vehicle is in motion. In still another embodiment, an audio sensor may be used to determine that the vehicle is in use. An audio sensor may detect engine sounds to determine that a vehicle is in use. These sensors (vibration, light, and sound) may then record and transmit data on the length of time a vehicle is in use 128D.

In another implementation, the number of turns a vehicle makes 128N may affect the quote 119 a. In an example, turns 128N may be counted by the number of times a steering wheel is turned past a minimum threshold of X degrees. The number of turns 128N may, for example, be monitored using a proximity sensor and a wheel covering. Further, the sensor may be decoupled from a communication device. In another example, the sensor may be coupled to a communication device.

Similarly, the number of times a user enters and exits the vehicle 128C may affect the quote 119 a. The number of times a user enters and exits the vehicle 128C may be tracked, in one example, by the user's key fob for the vehicle. The key fob may include a sensor that counts the number of times a user enters, exits, and/or starts the vehicle. The key fob may also include a time-of day sensor to “timestamp” the time of day the vehicle is used 128M.

The number of times a vehicle enters or exits a particular location 128E, such as a garage, may affect the quote 119 a. In one example, a sensor positioned in proximity to a vehicle parking place such as a garage door, near a reserved parking spot, or at the threshold of a driveway may be used to count the number of times the vehicle is moved from the location 128E. In one implementation the sensor may be decoupled from a communication device, while in another implementation the sensor may be coupled to a communication device. The sensor may a device such as a magnetic sensor, an electric sensor, a light sensor, an infrared sensor, etc.

Further, distance traveled 128B may affect the quote 119 a. Distance traveled 119 a may be tracked using GPS technology. In another embodiment, distance traveled 128B may be tracked using off-premises field surveying of a vehicle. In still another embodiment, distance traveled 128B may be tracked using a plurality of sensor devices distributed within a geographical area. In still another embodiment, distance traveled 128B may be tracked using aerial imagery of the vehicle.

The dynamic policy module 112, via the client 102, may continue to track usage data 128 until tracking is cancelled or until a quote request is received at the server at function 206. The dynamic policy module 112 may then determine a risk score for the potential customer and correlate that determined score to a price for an insurance policy based on the coverage type received by function 202, or for a new coverage type received along with the quote request.

The module 112 may be able to create quotes for auto insurance policies of many different coverage types. For example, a module 112 may create quotes for auto insurance policies with variable time lengths. These policies may be based on the needs of a user and can last a duration of hours, days, weeks or months. In another implementation, a coverage type may be based on a distance. The policy may be based on a user's needs and cover both short and long distances.

At function 208, the dynamic policy module 112 may create an auto insurance quote using the gathered data of function 204. The module 112 may receive usage data 128, potential customer data 118 a, other data 118 b, and historical data 118 c. The module 112 may then calculate, using the received data, one or more auto insurance quotes based on the received coverage type. Each policy 119 a, created by the module 112, may be stored in the policy data repository 119 before being communicated to the client device 102 via the network 106 and presented within a user interface.

At function 210, the system may execute instructions to send the created quotes 119 a to be presented. The system may execute an instruction to have the dynamic policy module 112 send data including one or more quotes 119 a and present the quotes 119 a in a GUI 110 on a web browser 114 to a potential customer using a client 102 via communication link 106 (e.g., user interface 400 of FIG. 4). In some embodiments the interface 400 may include one or more presented quotes 119 a. The presented quotes 119 a may also include various information about the policy, such as duration (distance or time) 401, cost 402, deductible 403, reasons for the value price quote based on the gathered data 404, etc.

At function 212, the system 100 may execute instructions to receive a purchase transaction, via interface 400. Upon receiving a purchase transaction, the dynamic policy module 112 may execute instructions to begin tracking usage data to determine when the purchased policy expires, at function 214. The module 112 may determine that a policy has expired once a certain amount of time has passed since the purchase transaction. In another implementation, the module 112 may determine that a policy has expired based on the number of miles driven since the purchase transaction.

Once the module 112 determines that the policy has expired, the module may create new quotes 119 a to present to a user for purchase. The module 112 would receive new usage data 128, tracked since the last purchase transaction, and use the information to create new quotes 119 a.

FIG. 5 illustrates an exemplary computing environment for implementing the system 100 and method 200, as described herein. As shown in FIG. 5, the computing device 501 includes a processor 502 that is coupled to an interconnection bus 504. The processor 502 includes a register set or register space 506, which is depicted in FIG. 5 as being entirely on-chip, but which could alternatively be located entirely or partially off-chip and directly coupled to the processor 502 via dedicated electrical connections and/or via the interconnection bus 504. The processor 502 may be any suitable processor, processing unit or microprocessor. Although not shown in FIG. 5, the computing device 501 may be a multi-processor device and, thus, may include one or more additional processors that are identical or similar to the processor 502 and that are communicatively coupled to the interconnection bus 504.

The processor 502 of FIG. 5 is coupled to a chipset 508, which includes a memory controller 512 and a peripheral input/output (I/O) controller 510. As is well known, a chipset typically provides I/O and memory management functions as well as a plurality of general purpose and/or special purpose registers, timers, etc. that are accessible or used by one or more processors coupled to the chipset 508. The memory controller 512 performs functions that enable the processor 502 (or processors if there are multiple processors) to access a system memory 514 and a mass storage memory 516.

The system memory 514 may include any desired type of volatile and/or non-volatile memory such as, for example, static random access memory (SRAM), dynamic random access memory (DRAM), flash memory, read-only memory (ROM), etc. The mass storage memory 516 may include any desired type of mass storage device. For example, if the computing device 501 is used to implement a bundle tool application 518 having an API 519 (including functions and instructions as described by the method 300 of FIG. 3), and user interface 110 to receive user input, the mass storage memory 516 may include a hard disk drive, an optical drive, a tape storage device, a solid-state memory (a flash memory, a RAM memory, etc.), a magnetic memory (e.g., a hard drive), or any other memory suitable for mass storage. In one embodiment, non-transitory program functions, modules and routines (an application 518, an API 519, and the user interface 110, etc.) are stored in mass storage memory 516, loaded into system memory 514, and executed by a processor 502 or can be provided from computer program products that are stored in tangible computer-readable storage mediums (RAM, hard disk, optical/magnetic media, etc.). Mass storage 516 may also include a cache memory 521 storing application data, user profile data, and timestamp data corresponding to the application data, and other data for use by the application 518.

The peripheral I/O controller 510 performs functions that enable the processor 502 to communicate with peripheral input/output (I/O) devices 522 and 524, a network interface 526, via a peripheral I/O bus 528. The I/O devices 522 and 524 may be any desired type of I/O device such as a keyboard, a display (a liquid crystal display (LCD), a cathode ray tube (CRT) display, etc.), a navigation device (a mouse, a trackball, a capacitive touch pad, a joystick, etc.), etc. The I/O devices 522 and 524 may be used with the application 518 to provide a dynamic policy module 112 and web interface 400 as described in relation to the figures. The local network transceiver 528 may include support for Wi-Fi network, Bluetooth, Infrared, cellular, or other wireless data transmission protocols. In other embodiments, one element may simultaneously support each of the various wireless protocols employed by the computing device 501. For example, a software-defined radio may be able to support multiple protocols via downloadable instructions. In operation, the computing device 501 may be able to periodically poll for visible wireless network transmitters (both cellular and local network) on a periodic basis. Such polling may be possible even while normal wireless traffic is being supported on the computing device 501. The network interface 526 may be an Ethernet device, an asynchronous transfer mode (ATM) device, an 802.11 wireless interface device, a DSL modem, a cable modem, a cellular modem, etc., that enables the system 100 to communicate with another computer system having at least the elements described in relation to the system 100.

While the memory controller 512 and the I/O controller 510 are depicted in FIG. 5 as separate functional blocks within the chipset 508, the functions performed by these blocks may be integrated within a single integrated circuit or may be implemented using two or more separate integrated circuits. The system 500 may also implement the user interfaces 300 and 400 and dynamic policy module 112 on remote computing devices 530 and 532. The remote computing devices 530 and 532 may communicate with the computing device 501 over a network link 534. For example, the computing device 501 may receive usage data 128 tracked by an application executing on a remote computing device 530, 532. In some embodiments, the application 518 including the user interfaces 300 and 400 and module 112 may be retrieved by the computing device 501 from a cloud computing server 536 via the Internet 538. When using the cloud computing server 536, the retrieved application 518 may be programmatically linked with the computing device 501. The dynamic policy module application 518 may be a Java® applet executing within a Java® Virtual Machine (JVM) environment resident in the computing device 501 or the remote computing devices 530, 532. The application 518 may also be “plug-ins” adapted to execute in a web-browser located on the computing devices 501, 530, and 532. In some embodiments, the application 518 may communicate with backend components 540 such as the data system 104 via the Internet 538 or other type of network.

Using the system 100 and method 200 described herein, a dynamic policy module 112 and interfaces 300 and 400 coupled with the method 200 may implement a dynamic insurance creation methodology to better service, retain, and expand a business' potential customer base. By implementing the dynamic creation policies by the module 112, potential customers may have access to auto insurance coverage that is simple and quick. In an insurance business, this instant creation of policies may help cater to the needs of potential customers while also providing a new avenue for sales. For example, a potential customer in need of auto insurance coverage for a 50 mile trip may get a quote and purchase the coverage in minutes.

The following additional considerations apply to the foregoing discussion. Throughout this specification, plural instances may implement functions, components, operations, or structures described as a single instance. Although individual functions and instructions of one or more methods are illustrated and described as separate operations, one or more of the individual operations may be performed concurrently, and nothing requires that the operations be performed in the order illustrated. Structures and functionality presented as separate components in example configurations may be implemented as a combined structure or component. Similarly, structures and functionality presented as a single component may be implemented as separate components. These and other variations, modifications, additions, and improvements fall within the scope of the subject matter herein.

For example, the network 112, may include but is not limited to any combination of a LAN, a MAN, a WAN, a mobile, a wired or wireless network, a private network, or a virtual private network. Moreover, while only one client computing device is illustrated in FIG. 1 to simplify and clarify the description, it is understood that any number of client computers or display devices are supported and can be in communication with the data system 104.

Additionally, certain embodiments are described herein as including logic or a number of functions, components, modules, blocks, or mechanisms. Functions may constitute either software modules (e.g., non-transitory code stored on a tangible machine-readable storage medium) or hardware modules. A hardware module is a tangible unit capable of performing certain operations and may be configured or arranged in a certain manner. In example embodiments, one or more computer systems (e.g., a standalone, client or server computer system) or one or more hardware modules of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware module that operates to perform certain operations as described herein.

In various embodiments, a hardware module may be implemented mechanically or electronically. For example, a hardware module may comprise dedicated circuitry or logic that is permanently configured (e.g., as a special-purpose processor, such as a field programmable gate array (FPGA) or an application-specific integrated circuit (ASIC)) to perform certain functions. A hardware module may also comprise programmable logic or circuitry (e.g., as encompassed within a general-purpose processor or other programmable processor) that is temporarily configured by software to perform certain operations. It will be appreciated that the decision to implement a hardware module mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.

Accordingly, the term hardware should be understood to encompass a tangible entity, which may be one of an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering embodiments in which hardware modules are temporarily configured (e.g., programmed), each of the hardware modules need not be configured or instantiated at any one time. For example, where the hardware modules comprise a general-purpose processor configured using software, the general-purpose processor may be configured as respective different hardware modules at different times. Software may accordingly configure a processor, for example, to constitute a particular hardware module at one instance of time and to constitute a different hardware module at a different instance of time.

Hardware and software modules can provide information to, and receive information from, other hardware and/or software modules. Accordingly, the described hardware modules may be regarded as being communicatively coupled. Where multiple of such hardware or software modules exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) that connect the hardware or software modules. In embodiments in which multiple hardware modules or software are configured or instantiated at different times, communications between such hardware or software modules may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware or software modules have access. For example, one hardware or software module may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware or software module may then, at a later time, access the memory device to retrieve and process the stored output. Hardware and software modules may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information).

The various operations of example functions and methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules that operate to perform one or more operations or functions. The modules referred to herein may, in some example embodiments, comprise processor-implemented modules.

Similarly, the methods or functions described herein may be at least partially processor-implemented. For example, at least some of the functions of a method may be performed by one or more processors or processor-implemented hardware modules. The performance of certain of the functions may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processor or processors may be located in a single location (e.g., within a home environment, an office environment or as a server farm), while in other embodiments the processors may be distributed across a number of locations.

The one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the functions may be performed by a group of computers (as examples of machines including processors). These operations are accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., application program interfaces (APIs)).

The performance of certain operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the one or more processors or processor-implemented modules may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other example embodiments, the one or more processors or processor-implemented modules may be distributed across a number of geographic locations.

Some portions of this specification are presented in terms of algorithms or symbolic representations of operations on data and data structures stored as bits or binary digital signals within a machine memory (e.g., a computer memory). These algorithms or symbolic representations are examples of techniques used by those of ordinary skill in the data processing arts to convey the substance of their work to others skilled in the art. As used herein, a “function” or an “algorithm” or a “routine” is a self-consistent sequence of operations or similar processing leading to a desired result. In this context, functions, algorithms, routines and operations involve physical manipulation of physical quantities. Typically, but not necessarily, such quantities may take the form of electrical, magnetic, or optical signals capable of being stored, accessed, transferred, combined, compared, or otherwise manipulated by a machine. It is convenient at times, principally for reasons of common usage, to refer to such signals using words such as “data,” “content,” “bits,” “values,” “elements,” “symbols,” “characters,” “terms,” “numbers,” “numerals,” or the like. These words, however, are merely convenient labels and are to be associated with appropriate physical quantities.

Unless specifically stated otherwise, discussions herein using words such as “processing,” “computing,” “calculating,” “determining,” “presenting,” “displaying,” or the like may refer to actions or processes of a machine (e.g., a computer) that manipulates or transforms data represented as physical (e.g., electronic, magnetic, or optical) quantities within one or more memories (e.g., volatile memory, non-volatile memory, or a combination thereof), registers, or other machine components that receive, store, transmit, or display information.

Although the text sets forth a detailed description of numerous different embodiments, it should be understood that the legal scope of the description is defined by the words of the claims set forth at the end of this patent. The detailed description is to be construed as exemplary only and does not describe every possible embodiment since describing every possible embodiment would be impractical, if not impossible. Numerous alternative embodiments could be implemented, using either current technology or technology developed after the filing date of this patent, which would still fall within the scope of the claims.

It should also be understood that, unless a term is expressly defined in this patent using the sentence “As used herein, the term “ ” is hereby defined to mean . . . ” or a similar sentence, there is no intent to limit the meaning of that term, either expressly or by implication, beyond its plain or ordinary meaning, and such term should not be interpreted to be limited in scope based on any statement made in any section of this patent (other than the language of the claims). To the extent that any term recited in the claims at the end of this patent is referred to in this patent in a manner consistent with a single meaning, that is done for sake of clarity only so as to not confuse the reader, and it is not intended that such claim term be limited, by implication or otherwise, to that single meaning. Finally, unless a claim element is defined by reciting the word “means” and a function without the recital of any structure, it is not intended that the scope of any claim element be interpreted based on the application of 35 U.S.C. §112, sixth paragraph.

As used herein any reference to “some embodiments” or “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.

Some embodiments may be described using the expression “coupled” and “connected” along with their derivatives. For example, some embodiments may be described using the term “coupled” to indicate that two or more elements are in direct physical or electrical contact. The term “coupled,” however, may also mean that two or more elements are not in direct contact with each other, but yet still co-operate or interact with each other. The embodiments are not limited in this context.

As used herein, the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion. For example, a function, process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Further, unless expressly stated to the contrary, “or” refers to an inclusive or and not to an exclusive or. For example, a condition A or B is satisfied by any one of the following: A is true (or present) and B is false (or not present), A is false (or not present) and B is true (or present), and both A and B are true (or present).

In addition, use of the “a” or “an” are employed to describe elements and components of the embodiments herein. This is done merely for convenience and to give a general sense of the description. This description should be read to include one or at least one and the singular also includes the plural unless it is obvious that it is meant otherwise.

Still further, the figures depict preferred embodiments of a computer system 100 for purposes of illustration only. One of ordinary skill in the art will readily recognize from the following discussion that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles described herein.

Upon reading this disclosure, those of skill in the art will appreciate still additional alternative structural and functional designs for a system and a process for creating and presenting insurance bundles through the disclosed principles herein. Thus, while particular embodiments and applications have been illustrated and described, it is to be understood that the disclosed embodiments are not limited to the precise construction and components disclosed herein. Various modifications, changes and variations, which will be apparent to those skilled in the art, may be made in the arrangement, operation and details of the method and apparatus disclosed herein without departing from the spirit and scope defined in the appended claims.

Claims (27)

What is claimed:
1. A computer-implemented method for creating insurance policy quotes for a potential customer based at least in part on tracked usage data corresponding to property to be insured by an insurance policy, the method comprising:
providing for display, by one or more processors, a selectable option to track usage data corresponding to a potential customer vehicle;
receiving, by the one or more processors, a selection to track usage data corresponding to the potential customer vehicle;
tracking, by the one or more processors, usage data of the potential customer vehicle in response to the selection to track usage data;
receiving, by the one or more processors, tracked usage data corresponding to the potential customer vehicle and other data corresponding to a potential customer;
receiving, by the one or more processors, a coverage type for the one or more potential customer vehicles;
receiving, by the one or more processors, a request for insurance policy quotes;
creating, by the one or more processors, one or more insurance policy quotes in response to the received request for insurance policy quotes and based at least in part on the received tracked usage data and the received other data, wherein each policy quote corresponds to the received coverage type;
receiving, by the one or more processors, a purchase transaction from the potential customer of an insurance policy from the one or more insurance policy quotes;
tracking, by the one or more processors, usage data until the purchased insurance policy has expired, wherein the policy is determined to have expired when usage data has been tracked for a certain amount of time since the purchase transaction; and
using, by the one or more processors, at least new tracked usage data to calculate new insurance policy quotes once the purchased insurance policy has expired.
2. The computer-implemented method of claim 1, wherein usage data comprises, for one or more potential customer vehicles, one or more of: a number of times a potential customer vehicle is turned on and off, a distance traveled by the potential customer vehicle, a number of times the potential customer enters or exits the potential customer vehicle, a total idle time for the potential customer vehicle, a total driving time for the potential customer vehicle, a number of times the potential customer vehicle enters and exits a particular location, a time of day which the potential customer vehicle is used, a frequency of driving events, a severity of driving events, an average miles per gallon the potential customer vehicle achieves, a carbon footprint the potential customer vehicle achieves, the potential customer vehicle location, a number or percent of times the vehicle surpasses a speed limit threshold, a travel route of the potential customer vehicle, a crime statistic along a travel route, a measure of traffic along the travel route, a weather event along the travel route, an accident report along the travel route, an average or percentiles of speed along the travel route, or a top speed along the travel route.
3. The computer-implemented of claim 1, wherein the received coverage type is based at least in part on one or more of time parameters, distance parameters, or different types of auto insurance coverage.
4. The computer-implemented method of claim 1, wherein receiving, using the one or more processors, the tracked usage data corresponding to the potential customer vehicle and the other data corresponding to the potential customer further comprises receiving, using the one or more processors, the tracked usage data corresponding to the potential customer vehicle and the other data corresponding to the potential customer through one or more databases of potential customer information.
5. The computer-implemented method of claim 1, further comprising tracking, by one or more processors, usage data with an On Board Diagnostic (OBD) device.
6. The computer implemented method of claim 1 further comprising:
sending, by the one or more processors, a prompt to a mobile computing device of the potential customer, the prompt to take a photo of an odometer of the potential customer vehicle; and
analyzing, by the one or more processors, the photo at one or more of the mobile computing device or a backend server to determine a set of numbers from the photo;
wherein the set of numbers indicates a mileage of the vehicle.
7. The computer implemented method of claim 6, wherein sending, by the one or more processors, the prompt to the mobile computing device of the potential customer, the prompt to take the photo of the odometer of the potential customer vehicle includes sending at periodic intervals, by the one or more processors, the prompt to the mobile computing device of the potential customer, the prompt to take the photo of the odometer of the potential customer vehicle.
8. The computer implemented method of claim 1, wherein a smart phone of the potential customer tracks the usage data.
9. The computer implemented method of claim 1, wherein one or more of a smart phone of the potential customer or a vehicle sensor tracks the usage data.
10. The computer implemented method of claim 2, wherein receiving, by the one or more processors, the selection to track usage data corresponding to the potential customer vehicle includes receiving, by the one or more processors, the selection to track a subset of the usage data corresponding to the potential customer vehicle.
11. A dynamic insurance policy system configured to create insurance policy quotes for a potential customer based at least in part on tracked usage data corresponding to one or more vehicles to be insured by an insurance policy, the system comprising:
a data system server including one or more processors and one or more memories, the memories including instructions executed on the one or more processors to:
provide for display, a selectable option to track usage data corresponding to a potential customer vehicle;
receive a selection to track usage data corresponding to the potential customer vehicle;
track usage data of one or more potential customer vehicles in response to the selection to track usage data;
receive tracked usage data corresponding to the one or more potential customer vehicles and other data corresponding to a potential customer;
receive at least one coverage type for the one or more potential customer's vehicles;
receive a request for insurance policy quotes;
create one or more insurance policy quotes in response to the received request for insurance policy quotes and based at least in part on the received tracked usage data and the received other data, wherein each policy quote corresponds to the received coverage type;
receive a purchase transaction from the potential customer of an insurance policy from the one or more insurance policy quotes;
track usage data until the purchased insurance policy has expired, wherein the policy is determined to have expired when usage data has been tracked for a certain amount of time since the purchase transaction; and
use at least new tracked usage data to calculate new insurance policy quotes once the purchased insurance policy has expired.
12. The computer system of claim 11, wherein usage data comprises, for one or more potential customer vehicles, one or more of: a number of times a potential customer vehicle is turned on and off, a distance traveled by the potential customer vehicle, a number of times the potential customer enters or exits the potential customer vehicle, a total idle time for the potential customer vehicle, a total driving time for the potential customer vehicle, a number of times the potential customer vehicle enters and exits a particular location, a time of day which the potential customer vehicle is used, a frequency of driving events, a severity of driving events, an average miles per gallon the potential customer vehicle achieves, a carbon footprint the potential customer vehicle achieves, the potential customer vehicle location, a number or percent of times the vehicle surpasses a speed limit threshold, a travel route of the potential customer vehicle, a crime statistic along a travel route, a measure of traffic along the travel route, a weather event along the travel route, an accident report along the travel route, an average or percentiles of speed along the travel route, or a top speed along the travel route.
13. The computer system of claim 11, wherein the received coverage type is based at least in part on one or more of a time parameter, a distance parameter, or a type of auto insurance coverage.
14. The computer system of claim 11, wherein tracked usage data and other data is further received through one or more databases of potential customer information.
15. The computer system of claim 11, wherein an On Board Diagnostics (OBD) device tracks usage data.
16. The computer system of claim 11, further comprising:
an instruction to send a prompt to a mobile computing device of the potential customer to take a photo of an odometer of the potential customer vehicle; and
an instruction to analyze the photo at one or more of the mobile computing device that took the photo or a backend server to determine a set of numbers from the photo;
wherein the set of numbers indicates a mileage of the vehicle.
17. The computer system of claim 16, wherein the instruction to send the prompt to the mobile computing device of the potential customer, the prompt to take the photo of the odometer of the potential customer vehicle includes an instruction to send, at periodic intervals, the prompt to the mobile computing device of the potential customer, the prompt to take the photo of the odometer of the potential customer vehicle.
18. The computer system of claim 11, wherein a smart phone of the potential customer tracks the usage data.
19. The computer implemented method of claim 11, wherein one or more of a smart phone of the potential customer or a vehicle sensor tracks the usage data.
20. The computer implemented method of claim 12, wherein receiving, by the one or more processors, the selection to track usage data corresponding to the potential customer vehicle includes receiving, by the one or more processors, the selection to track a subset of the usage data corresponding to the potential customer vehicle.
21. A tangible, non-transitory computer-readable medium including non-transitory computer readable instructions stored thereon for creating insurance policy quotes for a potential customer based at least in part on tracked usage data corresponding to one or more vehicles to be insured by an insurance policy, the instructions to:
provide for display, a selectable option to track usage data corresponding to a potential customer vehicle;
receive a selection to track usage data corresponding to the potential customer vehicle;
track usage data of one or more potential customer vehicles in response to the selection to track usage data;
receive tracked usage data corresponding to the one or more potential customer vehicles and other data corresponding to a potential customer;
receive a coverage type for the one or more potential customer vehicles;
receive a request for insurance policy quotes;
create one or more insurance policy quotes in response to the received request for insurance policy quotes and based at least in part on the received usage data and the received other data, wherein each policy quote corresponds to the received coverage type;
receive a purchase transaction from the potential customer of an insurance policy from the one or more insurance policy quotes;
track usage data until the purchased insurance policy has expired, wherein the policy is determined to have expired when usage data has been tracked for a certain amount of time since the purchase transaction; and
use at least new tracked usage data to calculate new insurance policy quotes once the purchased insurance policy has expired.
22. The tangible, non-transitory computer-readable medium of claim 21, wherein usage data comprises one or more of: a number of times a potential customer vehicle is turned on and off, a distance traveled by the potential customer vehicle, a number of times the potential customer enters or exits the potential customer vehicle, a total idle time for the potential customer vehicle, a total driving time for the potential customer vehicle, a number of times the potential customer vehicle enters and exits a particular location, a time of day which the potential customer vehicle is used, a frequency of driving events, a severity of driving events, an average miles per gallon the potential customer vehicle achieves, an carbon footprint the potential customer vehicle achieves, the potential customer vehicle location, a number or percent of times the vehicle surpasses a speed limit threshold, a travel route of the potential customer vehicle, a crime statistic along a travel route, a measure of traffic along the travel route, a weather event along the travel route, an accident report along the travel route, an average or percentiles of speed along the travel route, or a top speed along the travel route.
23. The tangible, non-transitory computer-readable medium of claim 21, wherein the received coverage type is based at least in part on one or more of a time parameter, a distance parameter, or a type of auto insurance coverage.
24. The tangible, non-transitory computer-readable medium of claim 21, wherein the instruction to receive tracked usage and other data comprises further instructions to receive the tracked usage and other data through one or more databases of potential customer information.
25. The tangible, non-transitory computer-readable medium of claim 21, wherein an On Board Diagnostic (OBD) device tracks usage data.
26. The tangible, non-transitory computer-readable medium of claim 21, further comprising:
an instruction to send a prompt to a mobile computing device of the potential customer to take a photo of an odometer of the potential customer vehicle; and
an instruction to analyze the photo at one or more of the mobile computing device that took the photo or a backend server to determine a set of numbers from the photo;
wherein the set of numbers indicates a mileage of the vehicle.
27. The tangible, non-transitory computer-readable medium of claim 26, wherein the instruction to send the prompt to the mobile computing device of the potential customer, the prompt to take the photo of the odometer of the potential customer vehicle includes an instruction to send, at periodic intervals, the prompt to the mobile computing device of the potential customer, the prompt to take the photo of the odometer of the potential customer vehicle.
US14/203,338 2013-03-10 2014-03-10 Dynamic auto insurance policy quote creation based on tracked user data Active US9141996B2 (en)

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US14/203,338 US9141996B2 (en) 2013-03-10 2014-03-10 Dynamic auto insurance policy quote creation based on tracked user data

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US14/203,338 US9141996B2 (en) 2013-03-10 2014-03-10 Dynamic auto insurance policy quote creation based on tracked user data
US14/795,369 US10013719B1 (en) 2013-03-10 2015-07-09 Dynamic auto insurance policy quote creation based on tracked user data

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US14/203,349 Active 2034-09-30 US9779458B2 (en) 2013-03-10 2014-03-10 Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data
US14/202,997 Active US8799036B1 (en) 2013-03-10 2014-03-10 Systems and methods for analyzing vehicle operation data to facilitate insurance policy processing
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US14/202,660 Abandoned US20140257865A1 (en) 2013-03-10 2014-03-10 Systems and methods for processing credits for distance-based insurance policies
US14/203,143 Pending US20140257869A1 (en) 2013-03-10 2014-03-10 Adjusting Insurance Policies Based on Common Driving Routes and Other Risk Factors
US14/203,338 Active US9141996B2 (en) 2013-03-10 2014-03-10 Dynamic auto insurance policy quote creation based on tracked user data
US14/314,822 Pending US20140310028A1 (en) 2013-03-10 2014-06-25 Systems and methods for analyzing vehicle operation data to facilitate insurance policy
US14/795,369 Active 2034-03-14 US10013719B1 (en) 2013-03-10 2015-07-09 Dynamic auto insurance policy quote creation based on tracked user data
US14/862,703 Active US9418383B1 (en) 2013-03-10 2015-09-23 System and method for determining and monitoring auto insurance incentives
US15/210,746 Active US9646347B1 (en) 2013-03-10 2016-07-14 System and method for determining and monitoring auto insurance incentives
US15/443,936 Active US10176530B1 (en) 2013-03-10 2017-02-27 System and method for determining and monitoring auto insurance incentives
US15/639,016 Active US10373264B1 (en) 2013-03-10 2017-06-30 Vehicle image and sound data gathering for insurance rating purposes
US15/674,067 Active US9865020B1 (en) 2013-03-10 2017-08-10 Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data
US15/824,311 Active US10387967B1 (en) 2013-03-10 2017-11-28 Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data

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US14/203,015 Active US9105066B2 (en) 2013-03-10 2014-03-10 Trip-based vehicle insurance
US14/203,115 Abandoned US20140257868A1 (en) 2013-03-10 2014-03-10 Systems and methods for processing vehicle insurance based on acuity testing performance
US14/202,812 Abandoned US20140257866A1 (en) 2013-03-10 2014-03-10 Systems and methods for processing additional distance units for distance-based insurance policies
US14/203,356 Active US9208525B2 (en) 2013-03-10 2014-03-10 System and method for determining and monitoring auto insurance incentives
US14/203,349 Active 2034-09-30 US9779458B2 (en) 2013-03-10 2014-03-10 Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data
US14/202,997 Active US8799036B1 (en) 2013-03-10 2014-03-10 Systems and methods for analyzing vehicle operation data to facilitate insurance policy processing
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US14/202,660 Abandoned US20140257865A1 (en) 2013-03-10 2014-03-10 Systems and methods for processing credits for distance-based insurance policies
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Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140257873A1 (en) * 2013-03-10 2014-09-11 State Farm Mutual Automobile Insurance Company Systems and Methods for Generating Vehicle Insurance Policy Data Based on Empirical Vehicle Related Data
US9646428B1 (en) 2014-05-20 2017-05-09 State Farm Mutual Automobile Insurance Company Accident response using autonomous vehicle monitoring
US9783159B1 (en) 2014-07-21 2017-10-10 State Farm Mutual Automobile Insurance Company Methods of theft prevention or mitigation
US9805601B1 (en) 2015-08-28 2017-10-31 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US9830662B1 (en) * 2013-03-15 2017-11-28 State Farm Mutual Automobile Insurance Company Split sensing method
US9940834B1 (en) 2016-01-22 2018-04-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US9972054B1 (en) * 2014-05-20 2018-05-15 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10036338B2 (en) 2016-04-26 2018-07-31 Honeywell International Inc. Condition-based powertrain control system
US10042359B1 (en) 2016-01-22 2018-08-07 State Farm Mutual Automobile Insurance Company Autonomous vehicle refueling
US10124750B2 (en) 2016-04-26 2018-11-13 Honeywell International Inc. Vehicle security module system
US10134278B1 (en) 2016-01-22 2018-11-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10157423B1 (en) 2014-11-13 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating style and mode monitoring
US10185998B1 (en) * 2014-05-20 2019-01-22 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10272779B2 (en) 2015-08-05 2019-04-30 Garrett Transportation I Inc. System and approach for dynamic vehicle speed optimization
US10309287B2 (en) 2016-11-29 2019-06-04 Garrett Transportation I Inc. Inferential sensor
US10319039B1 (en) * 2014-05-20 2019-06-11 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10324463B1 (en) 2016-01-22 2019-06-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation adjustment based upon route
US10373259B1 (en) * 2014-05-20 2019-08-06 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US10395332B1 (en) 2016-01-22 2019-08-27 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US10423131B2 (en) 2015-07-31 2019-09-24 Garrett Transportation I Inc. Quadratic program solver for MPC using variable ordering

Families Citing this family (74)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9932033B2 (en) 2007-05-10 2018-04-03 Allstate Insurance Company Route risk mitigation
US10096038B2 (en) 2007-05-10 2018-10-09 Allstate Insurance Company Road segment safety rating system
US8606512B1 (en) 2007-05-10 2013-12-10 Allstate Insurance Company Route risk mitigation
US10157422B2 (en) 2007-05-10 2018-12-18 Allstate Insurance Company Road segment safety rating
CA2988134A1 (en) * 2015-06-08 2016-12-15 Allstate Insurance Company Route risk mitigation
US10360636B1 (en) 2012-08-01 2019-07-23 Allstate Insurance Company System for capturing passenger and trip data for a taxi vehicle
US9081650B1 (en) 2012-12-19 2015-07-14 Allstate Insurance Company Traffic based driving analysis
GB2517126B (en) * 2013-05-14 2015-05-20 Y3K Europ Ltd Driving event notification
JP6179191B2 (en) * 2013-05-27 2017-08-16 富士通株式会社 Driving diagnosis device, driving diagnosis method and program
US8935036B1 (en) * 2013-09-06 2015-01-13 State Farm Mutual Automobile Insurance Company Systems and methods for updating a driving tip model using telematics data
US10096067B1 (en) 2014-01-24 2018-10-09 Allstate Insurance Company Reward system related to a vehicle-to-vehicle communication system
US20150228129A1 (en) * 2014-02-10 2015-08-13 Metromile, Inc. System and method for profiling vehicle usage
US9940676B1 (en) * 2014-02-19 2018-04-10 Allstate Insurance Company Insurance system for analysis of autonomous driving
US10185999B1 (en) 2014-05-20 2019-01-22 State Farm Mutual Automobile Insurance Company Autonomous feature use monitoring and telematics
US9877088B2 (en) * 2014-05-27 2018-01-23 International Business Machines Corporation Cooperative task execution in instrumented roadway systems
US9563814B1 (en) 2014-06-27 2017-02-07 Blinker, Inc. Method and apparatus for recovering a vehicle identification number from an image
US9818154B1 (en) * 2014-06-27 2017-11-14 Blinker, Inc. System and method for electronic processing of vehicle transactions based on image detection of vehicle license plate
US9558419B1 (en) 2014-06-27 2017-01-31 Blinker, Inc. Method and apparatus for receiving a location of a vehicle service center from an image
US9600733B1 (en) 2014-06-27 2017-03-21 Blinker, Inc. Method and apparatus for receiving car parts data from an image
US9779318B1 (en) 2014-06-27 2017-10-03 Blinker, Inc. Method and apparatus for verifying vehicle ownership from an image
US9760776B1 (en) 2014-06-27 2017-09-12 Blinker, Inc. Method and apparatus for obtaining a vehicle history report from an image
US9773184B1 (en) 2014-06-27 2017-09-26 Blinker, Inc. Method and apparatus for receiving a broadcast radio service offer from an image
US9594971B1 (en) 2014-06-27 2017-03-14 Blinker, Inc. Method and apparatus for receiving listings of similar vehicles from an image
US9892337B1 (en) 2014-06-27 2018-02-13 Blinker, Inc. Method and apparatus for receiving a refinancing offer from an image
US9589202B1 (en) 2014-06-27 2017-03-07 Blinker, Inc. Method and apparatus for receiving an insurance quote from an image
US10242284B2 (en) 2014-06-27 2019-03-26 Blinker, Inc. Method and apparatus for providing loan verification from an image
US9754171B1 (en) 2014-06-27 2017-09-05 Blinker, Inc. Method and apparatus for receiving vehicle information from an image and posting the vehicle information to a website
US9589201B1 (en) 2014-06-27 2017-03-07 Blinker, Inc. Method and apparatus for recovering a vehicle value from an image
US9607236B1 (en) 2014-06-27 2017-03-28 Blinker, Inc. Method and apparatus for providing loan verification from an image
US9972184B2 (en) * 2014-07-24 2018-05-15 State Farm Mutual Automobile Insurance Company Systems and methods for monitoring a vehicle operator and for monitoring an operating environment within the vehicle
US9721305B2 (en) * 2014-08-01 2017-08-01 Mobile Data Labs, Inc. Mobile device distance tracking
US20160042465A1 (en) * 2014-08-11 2016-02-11 Validus Services (Bermuda), Ltd. Systems for evaluating exposure to insurance policies caused by catostrophic events
US9846977B1 (en) 2014-09-02 2017-12-19 Metromile, Inc. Systems and methods for determining vehicle trip information
US10036639B1 (en) 2014-09-02 2018-07-31 Metromile, Inc. Systems and methods for determining and displaying a route using information determined from a vehicle, user feedback, and a mobile electronic device
US9812015B1 (en) 2014-09-02 2017-11-07 Metromile, Inc. Systems and methods for determining parking information for a vehicle using vehicle data and external parking data
US10140785B1 (en) 2014-09-02 2018-11-27 Metromile, Inc. Systems and methods for determining fuel information of a vehicle
US9056616B1 (en) * 2014-09-23 2015-06-16 State Farm Mutual Automobile Insurance Student driver feedback system allowing entry of tagged events by instructors during driving tests
US9373203B1 (en) 2014-09-23 2016-06-21 State Farm Mutual Automobile Insurance Company Real-time driver monitoring and feedback reporting system
US10424024B1 (en) * 2014-10-06 2019-09-24 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US9984418B1 (en) * 2014-10-06 2018-05-29 Allstate Insurance Company System and method for determining an insurance premium quote based on human telematic data and structure related telematic data
US10127737B1 (en) * 2014-10-06 2018-11-13 Allstate Insurance Company Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a dynamic environment such as during operation of a vehicle
US9984420B1 (en) * 2014-10-06 2018-05-29 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US9984419B1 (en) * 2014-10-06 2018-05-29 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US9955242B1 (en) * 2014-10-06 2018-04-24 Allstate Insurance Company Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a static environment such as in or around buildings or other structures
US9996882B1 (en) * 2014-10-06 2018-06-12 Allstate Insurance Company System and method for determining an insurance premium quote based on human telematic data and structure related telematic data
US9973834B1 (en) * 2014-10-06 2018-05-15 Allstate Insurance Company Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a static environment such as in or around buildings or other structures
US10210678B1 (en) * 2014-10-06 2019-02-19 Allstate Insurance Company Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a dynamic environment such as during operation of a vehicle
US9830665B1 (en) * 2014-11-14 2017-11-28 United Services Automobile Association Telematics system, apparatus and method
EP3227877A4 (en) * 2014-12-02 2018-09-12 HERE Global B.V. Method and apparatus for determining location-based vehicle behavior
EP3045919B1 (en) 2015-01-14 2019-05-08 Tata Consultancy Services Limited System and method for estimating speed of a vehicle
US10198772B2 (en) * 2015-01-14 2019-02-05 Tata Consultancy Services Limited Driver assessment and recommendation system in a vehicle
US20160379310A1 (en) * 2015-01-28 2016-12-29 Allstate Insurance Company Interactive Dashboard Display
US9390452B1 (en) 2015-01-28 2016-07-12 Allstate Insurance Company Risk unit based policies
US9361599B1 (en) * 2015-01-28 2016-06-07 Allstate Insurance Company Risk unit based policies
US9607509B2 (en) * 2015-04-08 2017-03-28 Sap Se Identification of vehicle parking using data from vehicle sensor network
US10402908B1 (en) * 2015-04-20 2019-09-03 Massachusetts Mutual Life Insurance Company Computer method and system for creating a personalized bundle of computer records
US10373523B1 (en) 2015-04-29 2019-08-06 State Farm Mutual Automobile Insurance Company Driver organization and management for driver's education
US9586591B1 (en) 2015-05-04 2017-03-07 State Farm Mutual Automobile Insurance Company Real-time driver observation and progress monitoring
US9888392B1 (en) 2015-07-24 2018-02-06 Allstate Insurance Company Detecting handling of a device in a vehicle
US9928353B2 (en) * 2015-08-03 2018-03-27 International Business Machines Corporation Vehicle authorization based on near field communication
US10346924B1 (en) * 2015-10-13 2019-07-09 State Farm Mutual Automobile Insurance Company Systems and method for analyzing property related information
US9574888B1 (en) * 2016-01-29 2017-02-21 International Business Machines Corporation Route generation based on contextual risk
US10269075B2 (en) 2016-02-02 2019-04-23 Allstate Insurance Company Subjective route risk mapping and mitigation
EP3438912A4 (en) * 2016-03-29 2019-04-03 Sony Corporation Information processing device, information processing method, program, and system
WO2018046102A1 (en) 2016-09-10 2018-03-15 Swiss Reinsurance Company Ltd. Automated, telematics-based system with score-driven triggering and operation of automated sharing economy risk-transfer systems and corresponding method thereof
US9979813B2 (en) 2016-10-04 2018-05-22 Allstate Solutions Private Limited Mobile device communication access and hands-free device activation
US10264111B2 (en) 2016-10-04 2019-04-16 Allstate Solutions Private Limited Mobile device communication access and hands-free device activation
KR101822308B1 (en) * 2016-11-23 2018-01-25 현대자동차주식회사 Controlling method and system for service of vehicle
US9947052B1 (en) 2016-12-20 2018-04-17 Allstate Insurance Company Controlling autonomous vehicles to optimize traffic characteristics
CN106781437A (en) * 2016-12-22 2017-05-31 安徽保腾网络科技有限公司 Compensation strategy determining method for minor traffic accident
US10152641B2 (en) * 2017-01-20 2018-12-11 Jack Cooper Logistics, LLC Artificial intelligence based vehicle dashboard analysis
US10149116B1 (en) 2017-01-27 2018-12-04 Allstate Insurance Company Early notification of driving status to a mobile device
CN107688645A (en) * 2017-08-30 2018-02-13 平安科技(深圳)有限公司 Insurance policy data processing method and terminal device
WO2019157288A1 (en) * 2018-02-09 2019-08-15 Nano Techgalaxy, Inc. D/B/A Galaxy.Ai Systems and methods for physical object analysis

Citations (60)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5499182A (en) 1994-12-07 1996-03-12 Ousborne; Jeffrey Vehicle driver performance monitoring system
US5797134A (en) 1996-01-29 1998-08-18 Progressive Casualty Insurance Company Motor vehicle monitoring system for determining a cost of insurance
US20020026394A1 (en) * 1998-10-29 2002-02-28 Patrick Savage Method and system of combined billing of multiple accounts on a single statement
US6434510B1 (en) * 1999-07-21 2002-08-13 Terry S. Callaghan Vehicle accessory for monitoring travel distance
US20020111725A1 (en) * 2000-07-17 2002-08-15 Burge John R. Method and apparatus for risk-related use of vehicle communication system data
US20020198843A1 (en) * 2001-01-17 2002-12-26 Xin Wang Method and apparatus for distributing enforceable property rights
US20030191581A1 (en) 1999-08-31 2003-10-09 Hitachi, Ltd. Method and apparatus for gathering vehicle information
US20040117358A1 (en) * 2002-03-16 2004-06-17 Von Kaenel Tim A. Method, system, and program for an improved enterprise spatial system
US20040153362A1 (en) 1996-01-29 2004-08-05 Progressive Casualty Insurance Company Monitoring system for determining and communicating a cost of insurance
US6868386B1 (en) 1996-01-29 2005-03-15 Progressive Casualty Insurance Company Monitoring system for determining and communicating a cost of insurance
US20050283388A1 (en) * 2004-06-17 2005-12-22 Eberwine David B System and method for automotive liability insurance verification
US20060075120A1 (en) * 2001-08-20 2006-04-06 Smit Mark H System and method for utilizing asynchronous client server communication objects
US20060247852A1 (en) 2005-04-29 2006-11-02 Kortge James M System and method for providing safety-optimized navigation route planning
US20070106539A1 (en) * 2004-10-29 2007-05-10 Chris Gay System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance
US20070124045A1 (en) * 2005-11-29 2007-05-31 Ayoub Ramy P System and method for controlling the processing of content based on zones in vehicles
US20080051996A1 (en) * 2006-08-23 2008-02-28 Dunning Katherine A Apparatus and method for vehicular display of information
US7343306B1 (en) * 2000-04-20 2008-03-11 International Business Machines Corporation Location-based vehicle risk assessment system
US20080255888A1 (en) * 2007-04-10 2008-10-16 Berkobin Eric C Methods, Systems, and Apparatuses for Determining Driver Behavior
US20090024419A1 (en) 2007-07-17 2009-01-22 Mcclellan Scott System and Method for Categorizing Driving Behavior Using Driver Mentoring and/or Monitoring Equipment to Determine an Underwriting Risk
US20100030568A1 (en) * 2008-07-29 2010-02-04 Denso International America, Inc. Unused allocated mileage counter
US20100066513A1 (en) 2008-09-15 2010-03-18 Frederic Bauchot Vehicle authorization method and system
US20100131304A1 (en) 2008-11-26 2010-05-27 Fred Collopy Real time insurance generation
US20100138244A1 (en) * 2007-05-02 2010-06-03 Intelligent Mechatronic Systems Inc. Recording and reporting of driving characteristics with privacy protection
US20100185534A1 (en) * 2009-01-21 2010-07-22 Satyavolu Ramakrishna V System and method for normalizing service usage data
US20100238009A1 (en) 2009-01-26 2010-09-23 Bryon Cook Driver Risk Assessment System and Method Employing Automated Driver Log
US20110153367A1 (en) * 2009-12-17 2011-06-23 Hartford Fire Insurance Company Systems and methods for linking vehicles to telematics-enabled portable devices
US20110161117A1 (en) * 2009-12-31 2011-06-30 Busque Keven J Insurance processing system and method using mobile devices for proof of ownership
US20110200052A1 (en) * 2010-02-15 2011-08-18 Fabio Mungo Machine to machine architecture
US20120004933A1 (en) 2010-02-09 2012-01-05 At&T Mobility Ii Llc System And Method For The Collection And Monitoring Of Vehicle Data
US8140358B1 (en) 1996-01-29 2012-03-20 Progressive Casualty Insurance Company Vehicle monitoring system
US20120072244A1 (en) * 2010-05-17 2012-03-22 The Travelers Companies, Inc. Monitoring customer-selected vehicle parameters
US20120101855A1 (en) * 2010-05-17 2012-04-26 The Travelers Indemnity Company Monitoring client-selected vehicle parameters in accordance with client preferences
US20120109418A1 (en) 2009-07-07 2012-05-03 Tracktec Ltd. Driver profiling
US20120109692A1 (en) * 2010-05-17 2012-05-03 The Travelers Indemnity Company Monitoring customer-selected vehicle parameters in accordance with customer preferences
US20120197669A1 (en) 2011-01-27 2012-08-02 Kote Thejovardhana S Determining Cost of Auto Insurance
US20120209632A1 (en) 2011-01-24 2012-08-16 Lexisnexis Risk Solutions Inc. Telematics smart pinging systems and methods
US20120214472A1 (en) 2009-10-31 2012-08-23 Saied Tadayon Method and System for Controlling Mobile Device Functions via a Service or Background Process
US8332242B1 (en) 2009-03-16 2012-12-11 United Services Automobile Association (Usaa) Systems and methods for real-time driving risk prediction and route recommendation
US20120323772A1 (en) * 2011-06-15 2012-12-20 Joseph Michael Systems and methods for monitoring, managing, and facilitating transactions involving vehicles
US20130046646A1 (en) * 2011-08-18 2013-02-21 Derrick S. Malan Web Based Co-Op Trust Ownership Program
US20130110310A1 (en) * 2011-10-26 2013-05-02 Telenav, Inc. Navigation system with compliance reporting and method of operation thereof
US20130144657A1 (en) * 2011-11-16 2013-06-06 Flextronics Ap, Llc Insurance tracking
US20130166326A1 (en) 2011-12-21 2013-06-27 Scope Technologies Holdings Limited System and method for characterizing driver performance and use in determining insurance coverage
US8489433B2 (en) 2010-07-29 2013-07-16 Insurance Services Office, Inc. System and method for estimating loss propensity of an insured vehicle and providing driving information
US8508353B2 (en) 2009-01-26 2013-08-13 Drivecam, Inc. Driver risk assessment system and method having calibrating automatic event scoring
US8538789B1 (en) * 2009-10-30 2013-09-17 Intuit Inc. Mileage tracking system and method
US8566126B1 (en) 2007-09-24 2013-10-22 United Services Automobile Association Systems and methods for processing vehicle or driver performance data
US20130289819A1 (en) 2011-01-24 2013-10-31 Lexisnexis Risk Solutions Inc. Systems and methods for telematics montoring and communications
US20130304515A1 (en) 2012-05-10 2013-11-14 Gary P. Gryan System and method for computing and sorting trip similarities using geo-spatial information
US20130304276A1 (en) * 2012-05-10 2013-11-14 Qualcomm Incorporated Off-board hours-of-service ("hos") processing
US8606514B2 (en) 2004-12-31 2013-12-10 Google Inc. Transportation routing
US8606512B1 (en) 2007-05-10 2013-12-10 Allstate Insurance Company Route risk mitigation
US8630768B2 (en) 2006-05-22 2014-01-14 Inthinc Technology Solutions, Inc. System and method for monitoring vehicle parameters and driver behavior
US8655544B2 (en) * 2011-02-02 2014-02-18 Kaarya Llc System and method for tracking vehicle mileage with mobile devices
US8682699B2 (en) 2010-12-26 2014-03-25 The Travelers Indemnity Company Systems and methods for customer-related risk zones
US20140108058A1 (en) * 2012-10-11 2014-04-17 Agero, Inc. Method and System to Determine Auto Insurance Risk
US8725408B2 (en) 2005-07-06 2014-05-13 Ford Global Technologies, Llc Driving route situation prediction for vehicle performance optimization
US20140257871A1 (en) * 2013-03-10 2014-09-11 State Farm Mutual Automobile Insurance Company Dynamic Auto Insurance Policy Quote Creation Based on Tracked User Data
US20140278574A1 (en) * 2013-03-14 2014-09-18 Ernest W. BARBER System and method for developing a driver safety rating
US9008956B2 (en) * 2009-07-29 2015-04-14 The Invention Science Fund I, Llc Promotional correlation with selective vehicle modes

Family Cites Families (175)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4303904A (en) * 1979-10-12 1981-12-01 Chasek Norman E Universally applicable, in-motion and automatic toll paying system using microwaves
US7650210B2 (en) * 1995-06-07 2010-01-19 Automotive Technologies International, Inc. Remote vehicle diagnostic management
US7415126B2 (en) * 1992-05-05 2008-08-19 Automotive Technologies International Inc. Occupant sensing system
US5310999A (en) * 1992-07-02 1994-05-10 At&T Bell Laboratories Secure toll collection system for moving vehicles
US5319611A (en) * 1993-03-31 1994-06-07 National Research Council Of Canada Method of determining range data in a time-of-flight ranging system
US7630802B2 (en) * 1995-06-07 2009-12-08 Automotive Technologies International, Inc. Information management and monitoring system and method
US7467034B2 (en) * 2002-11-04 2008-12-16 Automotive Technologies International, Inc. Tire monitoring techniques
US5550551A (en) * 1994-07-25 1996-08-27 At&T Corp. Position monitoring system and method
US5819230A (en) * 1995-08-08 1998-10-06 Homevest Financial Group, Inc. System and method for tracking and funding asset purchase and insurance policy
US6400835B1 (en) * 1996-05-15 2002-06-04 Jerome H. Lemelson Taillight mounted vehicle security system employing facial recognition using a reflected image
US5916287A (en) * 1996-09-30 1999-06-29 Hewlett-Packard Company Modular automotive diagnostic, test and information system
US7870010B2 (en) 1997-07-31 2011-01-11 Raymond Anthony Joao Apparatus and method for processing lease insurance information
US6313791B1 (en) * 1999-05-27 2001-11-06 Michael Dean Klanke Automotive GPS control system
WO2001052136A1 (en) * 1999-12-23 2001-07-19 Car Point Korea Co. Ltd. Method and system for processing automobile insurance of a prepaid type according to driving distance and time of vehicle
US6408232B1 (en) 2000-04-18 2002-06-18 Agere Systems Guardian Corp. Wireless piconet access to vehicle operational statistics
US7343310B1 (en) * 2000-04-28 2008-03-11 Travelers Property Casualty Corp. System and method for providing web-based user interface to legacy, personal-lines insurance applications
US7941258B1 (en) * 2000-08-31 2011-05-10 Strategic Design Federation W, Inc. Automobile monitoring for operation analysis
US7584033B2 (en) * 2000-08-31 2009-09-01 Strategic Design Federation W. Inc. Automobile monitoring for operation analysis
US7860764B1 (en) * 2000-10-19 2010-12-28 Blaise Alexander Method and system for leasing motor vehicles to credit challenged consumers
US20020128985A1 (en) * 2001-03-09 2002-09-12 Brad Greenwald Vehicle value appraisal system
US7725348B1 (en) * 2001-10-17 2010-05-25 United Toll Systems, Inc. Multilane vehicle information capture system
US6718235B1 (en) * 2001-11-19 2004-04-06 Volvo Trucks North America, Inc. Route control system
US6617707B1 (en) * 2001-11-30 2003-09-09 Scott A. Reece Driver identification system
US6741168B2 (en) 2001-12-13 2004-05-25 Samsung Electronics Co., Ltd. Method and apparatus for automated collection and transfer of collision information
JP4416374B2 (en) * 2002-03-26 2010-02-17 富士通株式会社 Insurance premium setting method, insurance premiums set program and the insurance premium setting apparatus
JP2003323555A (en) * 2002-04-30 2003-11-14 Hewlett Packard Japan Ltd Method and system for information distribution
JP2004029872A (en) 2002-06-21 2004-01-29 Hitachi Ltd Insurance fee calculation system
KR20040017465A (en) * 2002-08-21 2004-02-27 주식회사 텔사인 Method and system of calculating a car insurance value using a smartcard
JP3699434B2 (en) * 2002-10-03 2005-09-28 三菱電機株式会社 Vehicle theft prevention device
US6832141B2 (en) * 2002-10-25 2004-12-14 Davis Instruments Module for monitoring vehicle operation through onboard diagnostic port
US7023328B2 (en) * 2002-10-28 2006-04-04 Matsushita Electric Industrial Co., Ltd. Automobile insurance warning system
US20040102984A1 (en) * 2002-11-27 2004-05-27 Stefan Wahlbin Computerized method and system for estimating liability using recorded vehicle data
JP4578795B2 (en) * 2003-03-26 2010-11-10 富士通テン株式会社 Vehicle control device, a vehicle control method and a vehicle control program
US6931309B2 (en) * 2003-05-06 2005-08-16 Innosurance, Inc. Motor vehicle operating data collection and analysis
US7821421B2 (en) * 2003-07-07 2010-10-26 Sensomatix Ltd. Traffic information system
US7161466B2 (en) 2003-07-30 2007-01-09 Lear Corporation Remote control automatic appliance activation
JP2005096744A (en) * 2003-09-01 2005-04-14 Matsushita Electric Ind Co Ltd Occupant certifying system
US9311676B2 (en) * 2003-09-04 2016-04-12 Hartford Fire Insurance Company Systems and methods for analyzing sensor data
US7542915B2 (en) * 2003-09-30 2009-06-02 The Boeing Company System of charging for automobile insurance
US7450928B1 (en) * 2004-01-09 2008-11-11 At&T Mobility Ii Llc Methods for providing overdraft protection for post-paid communication service plans
US8600604B2 (en) * 2004-01-29 2013-12-03 Intelligent Mechatronic Systems Inc. Data integrity verification device
US7895054B2 (en) * 2004-05-06 2011-02-22 Humana Inc. Pharmacy personal care account
DE102005042081B4 (en) * 2004-09-06 2013-12-19 Denso Corporation Anti-theft system for vehicles
US20060053038A1 (en) * 2004-09-08 2006-03-09 Warren Gregory S Calculation of driver score based on vehicle operation
US8271299B2 (en) * 2004-09-10 2012-09-18 Davidson S Kenneth Return-of-premium insurance system and method
US7519362B2 (en) * 2004-09-13 2009-04-14 Laperch Richard C Personal wireless gateway and method for implementing the same
US7889931B2 (en) * 2004-10-22 2011-02-15 Gb Investments, Inc. Systems and methods for automated vehicle image acquisition, analysis, and reporting
US20070299700A1 (en) * 2004-10-29 2007-12-27 Milemeter, Inc. System and Method for Assessing Earned Premium for Distance-Based Vehicle Insurance
US7865378B2 (en) 2004-10-29 2011-01-04 Milemeter, Inc. System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance
US7991629B2 (en) 2004-10-29 2011-08-02 Milemeter, Inc. System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance
US7987103B2 (en) 2004-10-29 2011-07-26 Milemeter, Inc. System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance
US9875508B1 (en) * 2004-11-19 2018-01-23 Allstate Insurance Company Systems and methods for customizing insurance
US8016416B1 (en) * 2005-01-15 2011-09-13 Sandy Helene Straus Automatic system and methods for measuring and evaluating at least one of mass vision, cognition, knowledge, operation skills, and the like
US7937278B1 (en) 2005-01-18 2011-05-03 Allstate Insurance Company Usage-based insurance cost determination system and method
US20060206415A1 (en) * 2005-03-08 2006-09-14 Mark Ross Method for facilitating the acquisition of a life insurance policy
JP2006252138A (en) * 2005-03-10 2006-09-21 Omron Corp Apparatus for photographing driver and apparatus for monitoring driver
US20070005404A1 (en) * 2005-06-09 2007-01-04 Drive Diagnostics Ltd. System and method for providing driving insurance
ES2374221T3 (en) * 2005-07-11 2012-02-14 Volvo Technology Corporation Methods and device for carrying out the identity check of a driver.
US20070046425A1 (en) * 2005-08-25 2007-03-01 Booth Irene F Car security device
US8874477B2 (en) * 2005-10-04 2014-10-28 Steven Mark Hoffberg Multifactorial optimization system and method
US7571128B1 (en) 2006-01-26 2009-08-04 Ford Motor Company Multi-vehicle incentive program
US7812712B2 (en) 2006-02-13 2010-10-12 All Protect, Llc Method and system for controlling a vehicle given to a third party
US8549318B2 (en) * 2006-02-13 2013-10-01 Affirmed Technologies, Llc Method and system for preventing unauthorized use of a vehicle by an operator of the vehicle
GB0605069D0 (en) 2006-03-14 2006-04-26 Airmax Group Plc Method and system for driver style monitoring and analysing
US20080106390A1 (en) * 2006-04-05 2008-05-08 White Steven C Vehicle power inhibiter
US20070256499A1 (en) * 2006-04-21 2007-11-08 Pelecanos Jason W Machine and operating environment diagnostics, detection and profiling using sound
US7659827B2 (en) * 2006-05-08 2010-02-09 Drivecam, Inc. System and method for taking risk out of driving
US20070268158A1 (en) * 2006-05-09 2007-11-22 Drivecam, Inc. System and Method for Reducing Driving Risk With Insight
US20070282638A1 (en) 2006-06-04 2007-12-06 Martin Surovy Route based method for determining cost of automobile insurance
US7724145B2 (en) * 2006-07-20 2010-05-25 Intelleflex Corporation Self-charging RFID tag with long life
US20080027761A1 (en) * 2006-07-25 2008-01-31 Avraham Bracha System and method for verifying driver's insurance coverage
US8086523B1 (en) * 2006-08-07 2011-12-27 Allstate Insurance Company Credit risk evaluation with responsibility factors
US20080059019A1 (en) * 2006-08-29 2008-03-06 International Business Machines Coporation Method and system for on-board automotive audio recorder
US20090002147A1 (en) * 2006-08-30 2009-01-01 Sony Ericsson Mobile Communications Ab Method for safe operation of mobile phone in a car environment
US20080055050A1 (en) * 2006-09-06 2008-03-06 Robert Brown Mobile file, indentification and security system device
US7873455B2 (en) * 2006-09-25 2011-01-18 Cnh America Llc Work vehicle access monitoring and control system
BRPI0717648A2 (en) * 2006-10-16 2013-12-24 Tech Resources Pty Ltd Method of separation of mining material and method for recovering valuable material, as valuable metals, from mining material, such as mining ore.
US20110040579A1 (en) 2006-12-20 2011-02-17 Safeco Insurance Company Of America Web-based systems and methods for providing services related to automobile safety and an insurance product
US7692552B2 (en) * 2007-01-23 2010-04-06 International Business Machines Corporation Method and system for improving driver safety and situational awareness
WO2008097499A1 (en) * 2007-02-02 2008-08-14 Hartford Fire Insurance Company Safety evaluation and feedback system and method
US20080215376A1 (en) * 2007-02-08 2008-09-04 Lawrence Engelman Long-term care insurance
US20080243558A1 (en) 2007-03-27 2008-10-02 Ash Gupte System and method for monitoring driving behavior with feedback
US7756633B2 (en) * 2007-05-11 2010-07-13 Palo Alto Research Center Incorporated System and method for security enhanced rideshare
GB2451167A (en) * 2007-07-16 2009-01-21 Charles Graham Palmer Separation of cost calculation means and payment services in a Position-Based Charging system.
GB2451485A (en) * 2007-08-01 2009-02-04 Airmax Group Plc Vehicle monitoring system
US20090094066A1 (en) * 2007-10-03 2009-04-09 Quotepro, Inc. Methods and Systems for Providing Vehicle Insurance
DE102007058542A1 (en) * 2007-12-06 2009-06-10 Robert Bosch Gmbh Driver assistance system for monitoring the safety and corresponding method for determining and evaluating a vehicle movement
US9014910B2 (en) * 2007-12-07 2015-04-21 General Motors Llc Method and system for providing vehicle data to third party authorized recipients
US20120190386A1 (en) * 2008-02-05 2012-07-26 Victor Thomas Anderson Wireless location establishing device
US9665910B2 (en) * 2008-02-20 2017-05-30 Hartford Fire Insurance Company System and method for providing customized safety feedback
US8983677B2 (en) * 2008-10-01 2015-03-17 Honeywell International Inc. Acoustic fingerprinting of mechanical devices
US9818157B2 (en) 2008-10-07 2017-11-14 State Farm Mutual Automobile Insurance Company Method for using electronic metadata to verify insurance claims
US8027853B1 (en) * 2008-10-23 2011-09-27 United States Automobile Associates (USAA) Systems and methods for self-service vehicle risk adjustment
US8056538B2 (en) * 2008-12-02 2011-11-15 GM Global Technology Operations LLC Method and system to prevent unauthorized uses of engine controllers
US9616849B1 (en) * 2009-06-26 2017-04-11 United Services Automobile Association Systems and methods for providing driving insurance for an individual driver
US9053469B1 (en) * 2009-07-10 2015-06-09 United Services Automobile Association System and method for providing usage based vehicle insurance
US9386447B2 (en) * 2009-07-21 2016-07-05 Scott Ferrill Tibbitts Method and system for controlling a mobile communication device
US8515788B2 (en) * 2009-09-04 2013-08-20 The Travelers Indemnity Company Methods and systems for providing customized risk mitigation/recovery to an insurance customer
US20130046562A1 (en) 2009-11-06 2013-02-21 Jeffrey Taylor Method for gathering, processing, and analyzing data to determine the risk associated with driving behavior
US8359259B2 (en) * 2009-11-12 2013-01-22 Hartford Fire Insurance Company System and method for administering telematics based reinsurance pools
US8224677B2 (en) * 2009-11-23 2012-07-17 Hartford Fire Insurance Company System and method for administering life insurance policies issued prior to underwriting
US20130035964A1 (en) * 2009-11-23 2013-02-07 Hartford Fire Insurance Company System and method for data processing for term life insurance policies issued before comprehensive underwriting
US8423239B2 (en) 2009-11-23 2013-04-16 Hti Ip, L.L.C. Method and system for adjusting a charge related to use of a vehicle during a period based on operational performance data
US20110213628A1 (en) * 2009-12-31 2011-09-01 Peak David F Systems and methods for providing a safety score associated with a user location
US9377528B2 (en) * 2010-03-19 2016-06-28 Northeastern University Roaming mobile sensor platform for collecting geo-referenced data and creating thematic maps
US8836491B2 (en) * 2010-04-29 2014-09-16 Ford Global Technologies, Llc Occupant detection
JP2011232293A (en) * 2010-04-30 2011-11-17 Meijo University Vehicle exterior sound detection device
US20160086393A1 (en) * 2010-05-17 2016-03-24 The Travelers Indemnity Company Customized vehicle monitoring privacy system
US8547214B2 (en) * 2010-06-11 2013-10-01 International Business Machines Corporation System for preventing handheld device use while operating a vehicle
US20120065834A1 (en) * 2010-09-10 2012-03-15 Accenture Global Services Limited Driving management system and method
WO2012040392A2 (en) * 2010-09-21 2012-03-29 Cellepathy Ltd. System and method for sensor-based determination of user role, location, and/or state of one of more in-vehicle mobile devices and enforcement of usage thereof
US9098367B2 (en) * 2012-03-14 2015-08-04 Flextronics Ap, Llc Self-configuring vehicle console application store
AU2011312061A1 (en) 2010-10-07 2013-05-23 Sachin Goel System and methodology for computer-implemented network optimization
US20120112879A1 (en) * 2010-11-09 2012-05-10 Ekchian Caroline M Apparatus and method for improved vehicle safety
US8484054B2 (en) * 2010-11-22 2013-07-09 Hartford Fire Insurance Company System and method for managing electronic accounts in response to disability data
US8612139B2 (en) * 2010-11-30 2013-12-17 GM Global Technology Operations LLC Systems and methods for planning vehicle routes based on safety factors
US9142142B2 (en) * 2010-12-10 2015-09-22 Kaarya, Llc In-car driver tracking device
US20120173128A1 (en) * 2010-12-30 2012-07-05 Theresa Peeler System and Method for Preventing the Operation of a Motor Vehicle Without Required Insurance
EP3514752A1 (en) * 2011-01-17 2019-07-24 Imetrik Technologies Inc. Computer-implemented method and system for reporting a confidence score in relation to a vehicle equipped with a wireless-enabled usage reporting device
US9164957B2 (en) * 2011-01-24 2015-10-20 Lexisnexis Risk Solutions Inc. Systems and methods for telematics monitoring and communications
US9221428B2 (en) * 2011-03-02 2015-12-29 Automatic Labs Inc. Driver identification system and methods
US8581711B2 (en) * 2011-03-22 2013-11-12 Gordon*Howard Associates, Inc. Methods and systems of rule-based intoxicating substance testing associated with vehicles
US8731974B2 (en) 2011-04-05 2014-05-20 Hartford Fire Insurance Company Systems and methods associated with insurance for electric vehicles
US9443152B2 (en) * 2011-05-03 2016-09-13 Ionroad Technologies Ltd. Automatic image content analysis method and system
US9171409B2 (en) * 2011-05-04 2015-10-27 GM Global Technology Operations LLC System and method for vehicle driving style determination
US8843348B2 (en) * 2011-06-14 2014-09-23 Hamilton Sundstrand Corporation Engine noise monitoring as engine health management tool
US20120330499A1 (en) * 2011-06-23 2012-12-27 United Technologies Corporation Acoustic diagnostic of fielded turbine engines
US20130046510A1 (en) * 2011-06-29 2013-02-21 State Farm Insurance Systems and Methods for Controlling the Collection of Vehicle Use Data Using a Mobile Device
US20130006674A1 (en) * 2011-06-29 2013-01-03 State Farm Insurance Systems and Methods Using a Mobile Device to Collect Data for Insurance Premiums
US8686844B1 (en) * 2011-06-29 2014-04-01 Intellectual Ventures Fund 79 Llc Methods, devices, and mediums associated with risk management of vehicle operation
US20110307188A1 (en) 2011-06-29 2011-12-15 State Farm Insurance Systems and methods for providing driver feedback using a handheld mobile device
KR20130004824A (en) * 2011-07-04 2013-01-14 현대자동차주식회사 Vehicle control system
US20130041621A1 (en) 2011-07-18 2013-02-14 David B. Smith Vehicle speed, fuel, and revenue optimizer
WO2013023061A1 (en) * 2011-08-09 2013-02-14 Ims Solutions, Inc. Vehicle monitoring system with automatic driver identification
US8538785B2 (en) * 2011-08-19 2013-09-17 Hartford Fire Insurance Company System and method for computing and scoring the complexity of a vehicle trip using geo-spatial information
US8569141B2 (en) * 2011-08-31 2013-10-29 Taiwan Semiconductor Manufacturing Company, Ltd. Polysilicon resistor formation in a gate-last process
US8781900B2 (en) * 2011-09-09 2014-07-15 Gordon*Howard Associates, Inc. Method and system of providing information to an occupant of a vehicle
US8744642B2 (en) * 2011-09-16 2014-06-03 Lytx, Inc. Driver identification based on face data
US9235750B1 (en) * 2011-09-16 2016-01-12 Lytx, Inc. Using passive driver identification and other input for providing real-time alerts or actions
US8818613B2 (en) * 2011-12-09 2014-08-26 General Motors Llc Application for a communications and processing device
US8989914B1 (en) * 2011-12-19 2015-03-24 Lytx, Inc. Driver identification based on driving maneuver signature
DE102011121871B3 (en) * 2011-12-21 2012-10-25 Audi Ag Method for determining occupant weight of motor car, involves detecting two times as two values of force acting on carriage load and suspension load, and detecting difference between two values to obtain occupant weight of vehicle
US9824064B2 (en) * 2011-12-21 2017-11-21 Scope Technologies Holdings Limited System and method for use of pattern recognition in assessing or monitoring vehicle status or operator driving behavior
US20130189660A1 (en) * 2012-01-20 2013-07-25 Mark Mangum Methods and systems for assessing and developing the mental acuity and behavior of a person
US8527146B1 (en) * 2012-01-30 2013-09-03 Google Inc. Systems and methods for updating vehicle behavior and settings based on the locations of vehicle passengers
US9170982B2 (en) * 2012-02-09 2015-10-27 Vehcon, Inc. Machinery fingerprinting
WO2013126866A1 (en) * 2012-02-24 2013-08-29 B3, Llc Systems and methods for comprehensive insurance loss management and loss minimization
US20130262153A1 (en) * 2012-03-28 2013-10-03 The Travelers Indemnity Company Systems and methods for certified location data collection, management, and utilization
US20130297387A1 (en) * 2012-05-01 2013-11-07 Joseph Michael Systems and methods for monitoring, managing, and facilitating communications and/or transactions relating to transportation infrastructure utilization
US9037394B2 (en) * 2012-05-22 2015-05-19 Hartford Fire Insurance Company System and method to determine an initial insurance policy benefit based on telematics data collected by a smartphone
US8768565B2 (en) 2012-05-23 2014-07-01 Enterprise Holdings, Inc. Rental/car-share vehicle access and management system and method
US8634822B2 (en) * 2012-06-24 2014-01-21 Tango Networks, Inc. Automatic identification of a vehicle driver based on driving behavior
US9183441B2 (en) * 2012-06-25 2015-11-10 Vehcon, Inc. Vehicle data collection and verification
US20140012604A1 (en) * 2012-07-09 2014-01-09 David W. Allen, JR. Self-Selected Insurance Pool Management
US20140019167A1 (en) * 2012-07-16 2014-01-16 Shuli Cheng Method and Apparatus for Determining Insurance Risk Based on Monitoring Driver's Eyes and Head
US20140025401A1 (en) * 2012-07-17 2014-01-23 Peter L. Hagelstein Data acquisition apparatus configured to acquire data for insurance purposes, and related systems and methods
WO2014028377A2 (en) * 2012-08-12 2014-02-20 Insurance Services Office, Inc. Apparatus and method for detecting driving performance data
KR20150036212A (en) 2012-08-15 2015-04-07 엠파이어 테크놀로지 디벨롭먼트 엘엘씨 Estimating insurance risks and costs
US20140058761A1 (en) * 2012-08-21 2014-02-27 Insurance Services Office, Inc. Apparatus and Method for Analyzing Driving Performance Data
US20140074402A1 (en) * 2012-09-12 2014-03-13 Lexisnexis Risk Solutions Fl Inc. Systems and methods for determining risks associated with driving routes
US20140074345A1 (en) * 2012-09-13 2014-03-13 Chanan Gabay Systems, Apparatuses, Methods, Circuits and Associated Computer Executable Code for Monitoring and Assessing Vehicle Health
US9141975B2 (en) * 2012-09-23 2015-09-22 Intel Corporation Inferring user risk profile from travel patterns
US20140086419A1 (en) * 2012-09-27 2014-03-27 Manjit Rana Method for capturing and using audio or sound signatures to analyse vehicle accidents and driver behaviours
BR112015007940A2 (en) * 2012-10-09 2017-07-04 Insurance Services Office Inc system and method for classifying and identifying a driver using driving performance data
US9141995B1 (en) * 2012-12-19 2015-09-22 Allstate Insurance Company Driving trip and pattern analysis
US9141582B1 (en) * 2012-12-19 2015-09-22 Allstate Insurance Company Driving trip and pattern analysis
US20140180723A1 (en) * 2012-12-21 2014-06-26 The Travelers Indemnity Company Systems and methods for surface segment data
US9665997B2 (en) * 2013-01-08 2017-05-30 Gordon*Howard Associates, Inc. Method and system for providing feedback based on driving behavior
US9232126B2 (en) * 2013-02-22 2016-01-05 Cognex Corporation Apparatus for adjusting the focus of an image capturing device
US9031545B1 (en) 2013-03-08 2015-05-12 Allstate Insurance Company Encouraging safe driving using a remote vehicle starter
US9454786B1 (en) * 2013-03-08 2016-09-27 Allstate Insurance Company Encouraging safe driving using a remote vehicle starter and personalized insurance rates
US9053516B2 (en) * 2013-07-15 2015-06-09 Jeffrey Stempora Risk assessment using portable devices
US8935036B1 (en) 2013-09-06 2015-01-13 State Farm Mutual Automobile Insurance Company Systems and methods for updating a driving tip model using telematics data
US10102587B1 (en) * 2014-07-21 2018-10-16 State Farm Mutual Automobile Insurance Company Methods of pre-generating insurance claims
US9916849B1 (en) * 2016-11-09 2018-03-13 Seagate Technology Llc Method and apparatus for detecting and remediating in response to insufficient or excessive HAMR optical power

Patent Citations (72)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5499182A (en) 1994-12-07 1996-03-12 Ousborne; Jeffrey Vehicle driver performance monitoring system
US8140358B1 (en) 1996-01-29 2012-03-20 Progressive Casualty Insurance Company Vehicle monitoring system
US5797134A (en) 1996-01-29 1998-08-18 Progressive Casualty Insurance Company Motor vehicle monitoring system for determining a cost of insurance
US6064970A (en) 1996-01-29 2000-05-16 Progressive Casualty Insurance Company Motor vehicle monitoring system for determining a cost of insurance
US20130013348A1 (en) 1996-01-29 2013-01-10 Progressive Casualty Insurance Company Vehicle Monitoring System
US20120209634A1 (en) 1996-01-29 2012-08-16 Progressive Casualty Insurance Company Vehicle monitoring system
US20120158436A1 (en) 1996-01-29 2012-06-21 Alan Rex Bauer Monitoring system for determining and communicating a cost of insurance
US20130013347A1 (en) 1996-01-29 2013-01-10 Progressive Casualty Insurance Company Vehicle Monitoring System
US20040153362A1 (en) 1996-01-29 2004-08-05 Progressive Casualty Insurance Company Monitoring system for determining and communicating a cost of insurance
US6868386B1 (en) 1996-01-29 2005-03-15 Progressive Casualty Insurance Company Monitoring system for determining and communicating a cost of insurance
US20020026394A1 (en) * 1998-10-29 2002-02-28 Patrick Savage Method and system of combined billing of multiple accounts on a single statement
US6434510B1 (en) * 1999-07-21 2002-08-13 Terry S. Callaghan Vehicle accessory for monitoring travel distance
US6856933B1 (en) * 1999-07-21 2005-02-15 Terry S. Callaghan Vehicle accessory for monitoring travel distance
US20030191581A1 (en) 1999-08-31 2003-10-09 Hitachi, Ltd. Method and apparatus for gathering vehicle information
US7343306B1 (en) * 2000-04-20 2008-03-11 International Business Machines Corporation Location-based vehicle risk assessment system
US20020111725A1 (en) * 2000-07-17 2002-08-15 Burge John R. Method and apparatus for risk-related use of vehicle communication system data
US20020198843A1 (en) * 2001-01-17 2002-12-26 Xin Wang Method and apparatus for distributing enforceable property rights
US20060075120A1 (en) * 2001-08-20 2006-04-06 Smit Mark H System and method for utilizing asynchronous client server communication objects
US20040117358A1 (en) * 2002-03-16 2004-06-17 Von Kaenel Tim A. Method, system, and program for an improved enterprise spatial system
US20050283388A1 (en) * 2004-06-17 2005-12-22 Eberwine David B System and method for automotive liability insurance verification
US7890355B2 (en) * 2004-10-29 2011-02-15 Milemeter, Inc. System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance
US20070106539A1 (en) * 2004-10-29 2007-05-10 Chris Gay System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance
US8606514B2 (en) 2004-12-31 2013-12-10 Google Inc. Transportation routing
US20060247852A1 (en) 2005-04-29 2006-11-02 Kortge James M System and method for providing safety-optimized navigation route planning
US8725408B2 (en) 2005-07-06 2014-05-13 Ford Global Technologies, Llc Driving route situation prediction for vehicle performance optimization
US20070124045A1 (en) * 2005-11-29 2007-05-31 Ayoub Ramy P System and method for controlling the processing of content based on zones in vehicles
US8630768B2 (en) 2006-05-22 2014-01-14 Inthinc Technology Solutions, Inc. System and method for monitoring vehicle parameters and driver behavior
US20080051996A1 (en) * 2006-08-23 2008-02-28 Dunning Katherine A Apparatus and method for vehicular display of information
US20080255888A1 (en) * 2007-04-10 2008-10-16 Berkobin Eric C Methods, Systems, and Apparatuses for Determining Driver Behavior
US20100138244A1 (en) * 2007-05-02 2010-06-03 Intelligent Mechatronic Systems Inc. Recording and reporting of driving characteristics with privacy protection
US8606512B1 (en) 2007-05-10 2013-12-10 Allstate Insurance Company Route risk mitigation
US20090024419A1 (en) 2007-07-17 2009-01-22 Mcclellan Scott System and Method for Categorizing Driving Behavior Using Driver Mentoring and/or Monitoring Equipment to Determine an Underwriting Risk
US8566126B1 (en) 2007-09-24 2013-10-22 United Services Automobile Association Systems and methods for processing vehicle or driver performance data
US20100030568A1 (en) * 2008-07-29 2010-02-04 Denso International America, Inc. Unused allocated mileage counter
US20100066513A1 (en) 2008-09-15 2010-03-18 Frederic Bauchot Vehicle authorization method and system
US20100131304A1 (en) 2008-11-26 2010-05-27 Fred Collopy Real time insurance generation
US20100185534A1 (en) * 2009-01-21 2010-07-22 Satyavolu Ramakrishna V System and method for normalizing service usage data
US20100238009A1 (en) 2009-01-26 2010-09-23 Bryon Cook Driver Risk Assessment System and Method Employing Automated Driver Log
US8508353B2 (en) 2009-01-26 2013-08-13 Drivecam, Inc. Driver risk assessment system and method having calibrating automatic event scoring
US8332242B1 (en) 2009-03-16 2012-12-11 United Services Automobile Association (Usaa) Systems and methods for real-time driving risk prediction and route recommendation
US20120109418A1 (en) 2009-07-07 2012-05-03 Tracktec Ltd. Driver profiling
US9008956B2 (en) * 2009-07-29 2015-04-14 The Invention Science Fund I, Llc Promotional correlation with selective vehicle modes
US8538789B1 (en) * 2009-10-30 2013-09-17 Intuit Inc. Mileage tracking system and method
US20120214472A1 (en) 2009-10-31 2012-08-23 Saied Tadayon Method and System for Controlling Mobile Device Functions via a Service or Background Process
US20110153367A1 (en) * 2009-12-17 2011-06-23 Hartford Fire Insurance Company Systems and methods for linking vehicles to telematics-enabled portable devices
US20140114696A1 (en) * 2009-12-17 2014-04-24 Hartford Fire Insurance Company Systems and methods for adjusting insurance processes using data from telematics-enabled portable devices
US8635091B2 (en) * 2009-12-17 2014-01-21 Hartford Fire Insurance Company Systems and methods for linking vehicles to telematics-enabled portable devices
US20110161117A1 (en) * 2009-12-31 2011-06-30 Busque Keven J Insurance processing system and method using mobile devices for proof of ownership
US20110161118A1 (en) * 2009-12-31 2011-06-30 Borden Richard M Insurance processing systems and methods using mobi
US20120004933A1 (en) 2010-02-09 2012-01-05 At&T Mobility Ii Llc System And Method For The Collection And Monitoring Of Vehicle Data
US20110200052A1 (en) * 2010-02-15 2011-08-18 Fabio Mungo Machine to machine architecture
US20120072243A1 (en) * 2010-05-17 2012-03-22 The Travelers Companies, Inc. Monitoring customer-selected vehicle parameters
US20120109692A1 (en) * 2010-05-17 2012-05-03 The Travelers Indemnity Company Monitoring customer-selected vehicle parameters in accordance with customer preferences
US20120072244A1 (en) * 2010-05-17 2012-03-22 The Travelers Companies, Inc. Monitoring customer-selected vehicle parameters
US20120101855A1 (en) * 2010-05-17 2012-04-26 The Travelers Indemnity Company Monitoring client-selected vehicle parameters in accordance with client preferences
US8489433B2 (en) 2010-07-29 2013-07-16 Insurance Services Office, Inc. System and method for estimating loss propensity of an insured vehicle and providing driving information
US8682699B2 (en) 2010-12-26 2014-03-25 The Travelers Indemnity Company Systems and methods for customer-related risk zones
US20130289819A1 (en) 2011-01-24 2013-10-31 Lexisnexis Risk Solutions Inc. Systems and methods for telematics montoring and communications
US20120209632A1 (en) 2011-01-24 2012-08-16 Lexisnexis Risk Solutions Inc. Telematics smart pinging systems and methods
US20120197669A1 (en) 2011-01-27 2012-08-02 Kote Thejovardhana S Determining Cost of Auto Insurance
US8655544B2 (en) * 2011-02-02 2014-02-18 Kaarya Llc System and method for tracking vehicle mileage with mobile devices
US20120323772A1 (en) * 2011-06-15 2012-12-20 Joseph Michael Systems and methods for monitoring, managing, and facilitating transactions involving vehicles
US20130046646A1 (en) * 2011-08-18 2013-02-21 Derrick S. Malan Web Based Co-Op Trust Ownership Program
US20130110310A1 (en) * 2011-10-26 2013-05-02 Telenav, Inc. Navigation system with compliance reporting and method of operation thereof
US20130144657A1 (en) * 2011-11-16 2013-06-06 Flextronics Ap, Llc Insurance tracking
US20130166326A1 (en) 2011-12-21 2013-06-27 Scope Technologies Holdings Limited System and method for characterizing driver performance and use in determining insurance coverage
US20130304515A1 (en) 2012-05-10 2013-11-14 Gary P. Gryan System and method for computing and sorting trip similarities using geo-spatial information
US20130304276A1 (en) * 2012-05-10 2013-11-14 Qualcomm Incorporated Off-board hours-of-service ("hos") processing
US20140108058A1 (en) * 2012-10-11 2014-04-17 Agero, Inc. Method and System to Determine Auto Insurance Risk
US20140257871A1 (en) * 2013-03-10 2014-09-11 State Farm Mutual Automobile Insurance Company Dynamic Auto Insurance Policy Quote Creation Based on Tracked User Data
US20140257867A1 (en) * 2013-03-10 2014-09-11 State Farm Mutual Automobile Insurance Company Trip-based vehicle insurance
US20140278574A1 (en) * 2013-03-14 2014-09-18 Ernest W. BARBER System and method for developing a driver safety rating

Cited By (70)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140257873A1 (en) * 2013-03-10 2014-09-11 State Farm Mutual Automobile Insurance Company Systems and Methods for Generating Vehicle Insurance Policy Data Based on Empirical Vehicle Related Data
US9646347B1 (en) 2013-03-10 2017-05-09 State Farm Mutual Automobile Insurance Company System and method for determining and monitoring auto insurance incentives
US10176530B1 (en) 2013-03-10 2019-01-08 State Farm Mutual Automobile Insurance Company System and method for determining and monitoring auto insurance incentives
US9865020B1 (en) * 2013-03-10 2018-01-09 State Farm Mutual Automobile Insurance Company Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data
US10373264B1 (en) 2013-03-10 2019-08-06 State Farm Mutual Automobile Insurance Company Vehicle image and sound data gathering for insurance rating purposes
US9779458B2 (en) * 2013-03-10 2017-10-03 State Farm Mutual Automobile Insurance Company Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data
US10387967B1 (en) * 2013-03-10 2019-08-20 State Farm Mutual Automobile Insurance Company Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data
US9830662B1 (en) * 2013-03-15 2017-11-28 State Farm Mutual Automobile Insurance Company Split sensing method
US10089693B1 (en) 2014-05-20 2018-10-02 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US9792656B1 (en) 2014-05-20 2017-10-17 State Farm Mutual Automobile Insurance Company Fault determination with autonomous feature use monitoring
US9805423B1 (en) 2014-05-20 2017-10-31 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US9767516B1 (en) 2014-05-20 2017-09-19 State Farm Mutual Automobile Insurance Company Driver feedback alerts based upon monitoring use of autonomous vehicle
US9754325B1 (en) 2014-05-20 2017-09-05 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US9852475B1 (en) 2014-05-20 2017-12-26 State Farm Mutual Automobile Insurance Company Accident risk model determination using autonomous vehicle operating data
US9858621B1 (en) 2014-05-20 2018-01-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle technology effectiveness determination for insurance pricing
US9715711B1 (en) * 2014-05-20 2017-07-25 State Farm Mutual Automobile Insurance Company Autonomous vehicle insurance pricing and offering based upon accident risk
US10373259B1 (en) * 2014-05-20 2019-08-06 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US10354330B1 (en) 2014-05-20 2019-07-16 State Farm Mutual Automobile Insurance Company Autonomous feature use monitoring and insurance pricing
US10185998B1 (en) * 2014-05-20 2019-01-22 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US9972054B1 (en) * 2014-05-20 2018-05-15 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10185997B1 (en) 2014-05-20 2019-01-22 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10181161B1 (en) * 2014-05-20 2019-01-15 State Farm Mutual Automobile Insurance Company Autonomous communication feature use
US10026130B1 (en) * 2014-05-20 2018-07-17 State Farm Mutual Automobile Insurance Company Autonomous vehicle collision risk assessment
US9646428B1 (en) 2014-05-20 2017-05-09 State Farm Mutual Automobile Insurance Company Accident response using autonomous vehicle monitoring
US10223479B1 (en) 2014-05-20 2019-03-05 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature evaluation
US10055794B1 (en) 2014-05-20 2018-08-21 State Farm Mutual Automobile Insurance Company Determining autonomous vehicle technology performance for insurance pricing and offering
US10319039B1 (en) * 2014-05-20 2019-06-11 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10102587B1 (en) 2014-07-21 2018-10-16 State Farm Mutual Automobile Insurance Company Methods of pre-generating insurance claims
US9786154B1 (en) 2014-07-21 2017-10-10 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10387962B1 (en) 2014-07-21 2019-08-20 State Farm Mutual Automobile Insurance Company Methods of reconstructing an accident scene using telematics data
US9783159B1 (en) 2014-07-21 2017-10-10 State Farm Mutual Automobile Insurance Company Methods of theft prevention or mitigation
US10266180B1 (en) 2014-11-13 2019-04-23 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10416670B1 (en) 2014-11-13 2019-09-17 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10157423B1 (en) 2014-11-13 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating style and mode monitoring
US10336321B1 (en) 2014-11-13 2019-07-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10353694B1 (en) 2014-11-13 2019-07-16 State Farm Mutual Automobile Insurance Company Autonomous vehicle software version assessment
US10166994B1 (en) 2014-11-13 2019-01-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US10246097B1 (en) 2014-11-13 2019-04-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle operator identification
US10241509B1 (en) 2014-11-13 2019-03-26 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10423131B2 (en) 2015-07-31 2019-09-24 Garrett Transportation I Inc. Quadratic program solver for MPC using variable ordering
US10272779B2 (en) 2015-08-05 2019-04-30 Garrett Transportation I Inc. System and approach for dynamic vehicle speed optimization
US10163350B1 (en) 2015-08-28 2018-12-25 State Farm Mutual Automobile Insurance Company Vehicular driver warnings
US10106083B1 (en) 2015-08-28 2018-10-23 State Farm Mutual Automobile Insurance Company Vehicular warnings based upon pedestrian or cyclist presence
US9805601B1 (en) 2015-08-28 2017-10-31 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US9868394B1 (en) 2015-08-28 2018-01-16 State Farm Mutual Automobile Insurance Company Vehicular warnings based upon pedestrian or cyclist presence
US10242513B1 (en) 2015-08-28 2019-03-26 State Farm Mutual Automobile Insurance Company Shared vehicle usage, monitoring and feedback
US9870649B1 (en) 2015-08-28 2018-01-16 State Farm Mutual Automobile Insurance Company Shared vehicle usage, monitoring and feedback
US10343605B1 (en) 2015-08-28 2019-07-09 State Farm Mutual Automotive Insurance Company Vehicular warning based upon pedestrian or cyclist presence
US10019901B1 (en) 2015-08-28 2018-07-10 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US10026237B1 (en) 2015-08-28 2018-07-17 State Farm Mutual Automobile Insurance Company Shared vehicle usage, monitoring and feedback
US10325491B1 (en) 2015-08-28 2019-06-18 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US10324463B1 (en) 2016-01-22 2019-06-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation adjustment based upon route
US10308246B1 (en) 2016-01-22 2019-06-04 State Farm Mutual Automobile Insurance Company Autonomous vehicle signal control
US10395332B1 (en) 2016-01-22 2019-08-27 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US10295363B1 (en) 2016-01-22 2019-05-21 State Farm Mutual Automobile Insurance Company Autonomous operation suitability assessment and mapping
US10042359B1 (en) 2016-01-22 2018-08-07 State Farm Mutual Automobile Insurance Company Autonomous vehicle refueling
US10156848B1 (en) 2016-01-22 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing during emergencies
US10168703B1 (en) 2016-01-22 2019-01-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle component malfunction impact assessment
US10249109B1 (en) 2016-01-22 2019-04-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle sensor malfunction detection
US10384678B1 (en) 2016-01-22 2019-08-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle action communications
US10086782B1 (en) 2016-01-22 2018-10-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle damage and salvage assessment
US9940834B1 (en) 2016-01-22 2018-04-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10134278B1 (en) 2016-01-22 2018-11-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10386192B1 (en) 2016-01-22 2019-08-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing
US10185327B1 (en) 2016-01-22 2019-01-22 State Farm Mutual Automobile Insurance Company Autonomous vehicle path coordination
US10386845B1 (en) 2016-01-22 2019-08-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle parking
US10065517B1 (en) 2016-01-22 2018-09-04 State Farm Mutual Automobile Insurance Company Autonomous electric vehicle charging
US10124750B2 (en) 2016-04-26 2018-11-13 Honeywell International Inc. Vehicle security module system
US10036338B2 (en) 2016-04-26 2018-07-31 Honeywell International Inc. Condition-based powertrain control system
US10309287B2 (en) 2016-11-29 2019-06-04 Garrett Transportation I Inc. Inferential sensor

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US9105066B2 (en) 2015-08-11
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US9418383B1 (en) 2016-08-16
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US20140257872A1 (en) 2014-09-11
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US20140257867A1 (en) 2014-09-11
US10013719B1 (en) 2018-07-03

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